Abstract

Systems, methods, and computer-readable media for assigning remote monitoring sessions. The system includes an electromechanical machine, one or more sensors, and one or more processing devices. The electromechanical machine is configured to be manipulated by a user while performing a treatment plan. The one or more sensors are configured to determine measurements of one or more vital signs associated with the user. The one or more processing devices are configured to receive a request to conduct a monitored session of the user performing the treatment plan. The one or more processing devices are also configured to determine whether conducting the monitored session with a computing device will violate one or more remote monitoring rules. The one or more processing device are further configured to initiate the monitored session by displaying the measurements on a display of the computing device while the user performs the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a cardiovascular health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the cardiovascular health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. Wherein a machine learning model is used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A method may include receiving objective information associated with a user that uses the at least one medical device during execution of a treatment plan, and based on the objective information, generating, using one or more terms defined in at least one medical terminology database, at least one input prompt. The method may also include providing, to an at least artificial intelligence engine configured to provide one or more predictions indicating one or more treatment interventions, the at least one input prompt. The method may also include receiving at least one prediction indicating one or more treatment interventions, and controlling, while the user uses the at least one medical device, and based on at least one aspect of the one or more treatment interventions indicated by the at least one prediction, the at least one medical device.

IPC Classes  ?

• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
• G06N 3/08 - Learning methods
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

Systems and methods include receiving a plurality of sets of data corresponding to respective users of a plurality of users undergoing rehabilitation treatment. Each of the sets of data includes sensor data obtained while the respective users perform respective treatment plans. The plurality of sets of data is stored as objective information in a queryable data format. The method further includes receiving first sensor data associated with the performance of a first treatment plan. The first treatment plan corresponds to a standardized treatment plan assigned to the user, and the first sensor data correlates with the objective information. The method further includes predicting, based on the objective information and the first sensor data, a likelihood of the first user achieving a rehabilitation goal, generating, based on the objective information, the first sensor data, and the likelihood of the first user achieving the rehabilitation goal, a second treatment plan.

IPC Classes  ?

• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
• G06N 3/08 - Learning methods
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

Systems, methods, and computer-readable media for and improvement rehabilitation infrastructure. The method includes receiving data associated with a user that uses a electromechanical machine to perform a treatment plan. The method also includes generating, using an artificial intelligence engine, a unique data signature associated with a regression of the user's condition. The unique data signal is generated when an indicator in the data satisfies a threshold indicator level. The method further includes generating, using the artificial engine and based on the unique data signature associated with the regression of the user's condition, a modified treatment plan that modifies a parameters or activity associated with at least one of the pain measurement, the measurement of revolutions per minute, and the session pedaling time. The method also includes controlling, while the user uses the electromechanical machine and using the modified treatment plan, the electromechanical machine.

IPC Classes  ?

• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
• G06N 3/08 - Learning methods
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

In some embodiments, a method may include receiving, from an electromechanical machine, a sensor, and a computing device, data associated with a user that uses the electromechanical machine to perform a treatment plan, correlating, using an artificial intelligence engine, at least two of a pain measurement, an indication of medication utilization, and a measurement of revolutions per minute to generate a unique data signature associated with a treatment gap associated with the treatment plan performed by the user. Based on the unique data signature, generating, using the artificial intelligence engine, alternative treatment plans for the user, based on a threshold compliance level associated with each of the alternative treatment plans, selecting an alternative treatment plan from the alternative treatment plans, and controlling, while the user uses the electromechanical machine and based on the alternative treatment plan, the electromechanical machine.

IPC Classes  ?

• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
• G06N 3/08 - Learning methods
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

In some embodiments, a method includes receiving first patient data, wherein the first patient data includes a first treatment plan, receiving second patient data, wherein the second patient data includes a second treatment plan, receiving first measurement data associated with a first performance level, receiving second measurement data associated with a second performance level, determining differential data, wherein the determining is based on comparing at least one of the first and the second measurement data and first and the respective second patient data, based on the differential data, generating, via an artificial intelligence engine, an instruction to modify an operating state of a physical portion of an electromechanical machine, and based on the differential data, generating, using the artificial intelligence engine, message data comprising at least one of audio data, visual data, and haptic data.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

IPC Classes  ?

• G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A method for displaying clinician user interface generated by a computer is disclosed. The method may include, displaying clinician user interface generated by a computer. The method may also include a profile display presenting information regarding a treatment history of a patient. The method may also include a protocol management display presenting a treatment plan, with the treatment plan comprising a plurality of treatment protocols. The method may also include a plan modification control configured to modify the plurality of treatment protocols of the treatment plan. The method may include a login interface configured to enable a person to access the clinician user interface by providing a credential associated with one of a plurality of user accounts. The method may include wherein each of the plurality of user accounts has a corresponding set of permissions controlling access to patient data on the clinician user interface.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A computer-implemented method is disclosed. The method includes receiving, from one or more sensors, one or more measurements associated with a user, where the one or more measurements are received while the user performs a treatment plan, and an electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan. The method also includes determining, via one or more machine learning models, one or more content items to present to the user, where the determining is based on the one or more measurements and one or more characteristics of the user. A presentation of the one or more content items is provided on an interface while the user performs the treatment plan using the electromechanical machine.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 71/06 - Indicating or scoring devices for games or players
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A treadmill includes one or more processing devices configured to receive a plurality of risk factors associated with at least one of a cardiac condition and a cardiac outcome for a user, generate a selected set of the risk factors, determine, based on the selected set of the risk factors, a probability of a cardiac intervention, generate, based on the probability and the selected set of the risk factors, a treatment plan to be performed by the user while the user interacts with the treadmill, the treatment plan including one or more exercises directed to reducing the probability of the cardiac intervention, and controlling, based on the treatment plan, the treadmill to at least one of actuate a motor to adjust a speed of the treadmill and adjust an incline of a belt.

IPC Classes  ?

• A63B 22/02 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands
• A63B 71/06 - Indicating or scoring devices for games or players

Abstract

Systems and methods for positioning one or more sensors on a user. The system has user sensors, apparatus sensors, and treatment sensors. A processing device, executing computer readable instructions stored in a memory, cause the processing device to: generate an enhanced environment representative of an environment; receive apparatus data representative of a location of the apparatus in the environment; generate an apparatus avatar in the enhanced environment; receive user data representative of a location of the user in the environment; generate a user avatar in the enhanced environment; receive treatment data representative of one or more locations of the treatment sensors in the environment; generate, treatment sensor avatars in the enhanced environment; calculate a treatment location for each treatment sensor, wherein the treatment location is associated with an anatomical structure of a user; and generate instruction data representing an instruction for positioning the treatment sensors at the treatment location.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
• G06T 11/00 - 2D [Two Dimensional] image generation
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A method is disclosed for using an artificial intelligence engine to present a user interface capable of presenting the progress of a user in domains. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a user interface that causes icons to dynamically change position on the user interface. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the exercise device. The method includes presenting, on a computing device associated with the exercise device, sections of the user interface, wherein the sections are each related to a separate domain comprising the domains and wherein, based on the measurements, each section includes the icons placed.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons

Abstract

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 71/06 - Indicating or scoring devices for games or players
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

In one embodiment, a method is disclosed. The method includes controlling, by one or more processing devices and using a target force setting value to be exerted by a body part of the patient, an electromechanical machine comprising an actuator configured to produce an external force based on the target force setting value. The method includes causing, via the one or more processing devices, presentation of a first user interface on a patient interface. The first user interface comprises an adjustment confirmation screen that solicits a response regarding the patient's comfort level with the target force setting value. The method includes changing, based on the response, the target force setting value, and controlling the actuator to produce an external force based on the changed target force setting value.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 71/06 - Indicating or scoring devices for games or players

Abstract

A system for measuring an angle of a joint of a user includes a coupling apparatus configured to be adhesively attached to a limb portion proximal to the joint of the user, and a goniometer device. The goniometer device includes: a center hub, a first arm having a first inner end attached to the center hub and a first outer end opposite the first inner end, and a second arm having a second inner end attached to the center hub and a second outer end opposite the second inner end. The first outer end of the first arm is removably attachable to the coupling apparatus by a magnetic attachment.

IPC Classes  ?

• A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb

Abstract

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/002 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices isometric or isokinetic, i.e. substantial force variation without substantial muscle motion
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 21/22 - Resisting devices with rotary bodies
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 22/18 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with elements having a circulating or rotating movement, generated by oscillating movement of the user
• A63B 23/035 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
• A63B 23/04 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs
• A63B 23/08 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs for ankle-joints
• A63B 23/12 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for upper limbs
• A63B 71/06 - Indicating or scoring devices for games or players
• G06N 20/00 - Machine learning
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A system for monitoring a joint of a user includes: a goniometer device for measuring an angle of the joint, and a pedometer removably attached to the goniometer device and configured to count a number of steps taken by the user. The goniometer device includes: a center hub, a first arm attached to the center hub, and a second arm attached to the center hub. A pedometer device for detecting steps taken by a user includes: a body and a circuit board including one or more sensors for detecting motion. The body is configured to be removably attached to a peripheral device by a magnetic coupling.

IPC Classes  ?

• A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb

Abstract

A smart exercise device includes a smart mirror configured to present information pertaining to a treatment plan being performed by a user and one or more processing devices configured to receive a plurality of risk factors associated with at least one of a cardiac condition and a cardiac outcome, generate a selected set of the risk factors, determine, based on the selected set of the risk factors, a probability that a cardiac intervention will occur, generate, based on the probability and the selected set of the risk factors, the treatment plan, and, to facilitate conformity with the treatment plan, cause the smart mirror to display a visual cue in response to a deviation of the user from at least one of a desired body posture, a range of motion, a joint or limb angle, and a motion defined by the treatment plan.

IPC Classes  ?

• A63B 71/06 - Indicating or scoring devices for games or players
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A computer-implemented system includes one or more processing devices configured to receive a plurality of risk factors associated with at least one of a cardiac condition and a cardiac outcome for a user, generate a selected set of the risk factors, determine, based on the selected set of the risk factors, a probability that a cardiac-related intervention will occur, and generate, based on the probability and the selected set of the risk factors, a treatment plan including one or more exercises directed to reducing the probability that the cardiac-related intervention will occur, and a stair-climbing machine configured to implement the treatment plan while the stair-climbing machine is being manipulated by the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/04 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable steps
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes processing devices configured to receive attribute data associated with a user, determine, based on the attribute data, at least one of a probability of being eligible for the first bariatric procedure to be performed on the user, and generate, based on the at least one probability, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability, and a treatment apparatus configured for implementation of the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A system and method for installing devices on a user can include an indicator set comprising a marker to place markings on the user, and a set of adhesive pads to be placed on the user. A knee pivot anchor can be attached to the user. A template having a proximal portion can be pivotally mounted to the knee pivot anchor. A distal portion of the template can be positioned at different locations on the user. The template also can have an aperture. A set of pods can be interchangeably located in the aperture of the template. Each pod can be secured to respective locations on the user. The template and the knee pivot anchor can be removed from the user with the pods remaining in place on the user to support a goniometer.

IPC Classes  ?

• A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
• A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges

Abstract

A computer-implemented method is disclosed. The method includes receiving, from one or more sensors, one or more measurements associated with a user, where the one or more measurements are received while the user performs a treatment plan, and an electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan. The method also includes determining, via one or more machine learning models, one or more content items to present to the user, where the determining is based on the one or more measurements and one or more characteristics of the user. A presentation of the one or more content items is provided on an interface while the user performs the treatment plan using the electromechanical machine.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 71/06 - Indicating or scoring devices for games or players
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes an electromechanical device configured to be manipulated by a patient while performing an exercise session, and a processor in communication with the electromechanical device. The processor is configured to receive data, generate a map packet, and transmit the map packet. The processor is configured to use the data to generate continuity packets, where each of the continuity packets includes a contiguous portion of the data, and transmit the continuity packets. The processor is configured to use the map packet and the continuity packets to cause an output file to be generated.

IPC Classes  ?

• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• G16Y 10/60 - HealthcareWelfare
• G16Y 20/40 - Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences
• G16Y 40/10 - DetectionMonitoring
• G16Y 40/20 - AnalyticsDiagnosis
• H04L 43/06 - Generation of reports
• H04L 47/43 - Assembling or disassembling of packets, e.g. segmentation and reassembly [SAR]
• H04L 49/552 - Prevention, detection or correction of errors by ensuring the integrity of packets received through redundant connections
• H04L 69/22 - Parsing or analysis of headers

Abstract

A system for processing medical claims, comprising a processor configured to receive device-generated information from a medical device. The device-generated information includes performance information. The processor generates a first biometric signature, and using the device-generated information, generates a second biometric signature, wherein the second biometric signature uses the performance information. Using the first and second biometric signatures, the processor generates a signature comparison. Using the signature comparison, the processor generates a signature indicator and transmits the signature indicator.

IPC Classes  ?

• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

Systems, methods, and computer-readable mediums for modifying, by an artificial intelligence engine, a treatment plan for optimizing patient outcome and pain levels during treatment sessions. The system includes, in one implementation, a treatment apparatus, a patient interface, and a computing device. The treatment apparatus is configured to be manipulated by a patient while the patient performs the treatment sessions. The computing device is configured to receive the treatment plan for the patient and treatment data pertaining to the patient. The computing device is also configured to receive patient input from the patient interface correlating with the pain levels of the patient. The computing device is further configured to use the treatment plan, the treatment data, and the patient input to generate at least one threshold. Responsive to an occurrence of exceeding the at least one threshold, the computing device is configured to modify the treatment plan.

IPC Classes  ?

• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G06F 3/048 - Interaction techniques based on graphical user interfaces [GUI]
• G06N 3/08 - Learning methods
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on the attribute data and a first health issue of the user, a selected set of the attribute data, the first health issue corresponding to a first long-term care health issue of the user, determine, based on the selected set of the attribute data, a first probability associated with treating the first health issue, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability. An electromechanical machine is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes an interface comprising a display configured to display interface presentation data pertaining to a plurality of users each using a respective electromechanical machine to perform a treatment plan and one or more processing devices configured to receive selected measurement information associated with each of the plurality of users, generate the interface presentation data based on the selected measurement information; and enable the interface to present, in respective portions of the display, the interface presentation data for each of the plurality of users. Each of the respective portions comprises a graphical element that presents, in real-time or near real-time, at least one type of the selected measurement information

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes a treatment apparatus configured to implement a treatment plan while the treatment apparatus is being manipulated by a user and a processing device configured to receive a plurality of risk factors, wherein each of the plurality of risk factors is associated with one or more medical events or outcomes for a user; generate a set of the risk factors; determine, based on the set of the risk factors and measurement information associated with the user, one or more individual probabilities that the one or more medical events or outcomes will occur while the treatment apparatus is being manipulated by the user; and perform, based on the one or more individual probabilities, one or more corrective actions associated with the one or more medical events or outcomes.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A pedal assembly for electromechanical exercise or rehabilitation of a user is disclosed and can include pedals to engage appendages of a user. A spindle supports each pedal and has a spindle axis. A pedal arm assembly is located between the spindle and an axle. The pedal arm assembly is radially offset from the spindle axis to define a range of adjustability for the pedal relative to the axle. The pedal arm assembly can include an electrically-actuated coupling assembly to adjust the position of the pedal in response to a control signal, and regulate motion of the user engaged with the pedals.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 21/22 - Resisting devices with rotary bodies
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups

Abstract

A computer-implemented system includes a treatment device configured to be manipulated by an individual while the individual performs a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a computing device configured to: identify two or more types of healthcare providers to participate during the telemedicine session in the treatment plan associated with the individual; identify at least one healthcare provider associated with each of the two or more types of the healthcare providers; identify, based on schedules of the identified at least one healthcare provider, one or more available time slots for each respective healthcare provider; identify a first time slot of the available time slots; generate, based on the first time slot, a schedule event; and communicate the schedule event to each of the identified healthcare providers.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture

Abstract

A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a device and a control system. The device comprises one or more slave sensors and a slave pressure system, the device configured to be manipulated while a patient performs a treatment plan. The control system comprises one or more processing devices operatively coupled to a master device and the device. The one or more processing devices are configured to receive slave sensor data from the one or more slave sensors, use a manipulation of the master device to generate a manipulation instruction, transmit the manipulation instruction, and use the manipulation instruction to cause the slave pressure system to activate.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/15 - Devices for taking samples of blood
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A computer-implemented method is disclosed. The method includes determining a maximum target heart rate for a user using an electromechanical machine to perform a treatment plan, wherein the electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan. The method includes receiving, via an interface, an input pertaining to a perceived exertion level of the user, wherein the interface comprises a display configured to present information pertaining to the treatment plan. Based on the perceived exertion level and the maximum target heart rate, the method includes determining an amount of resistance for the electromechanical machine to provide via one or more pedals physically or communicatively coupled to the electromechanical machine. While the user performs the treatment plan, the method includes causing the electromechanical machine to provide the amount of resistance.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface. and a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; identify at least one enhanced component using the treatment data; generate an enhanced environment using the at least one enhanced component and the treatment plan; output at least one aspect of the enhanced environment to at least one of the patient interface and another interface; receive subsequent treatment data pertaining to the user; and selectively modify at least one of the enhanced environment and at least one of the at least one aspect of the treatment plan and any other aspect of the treatment plan using the subsequent treatment data.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

In some embodiments, a system for rehabilitation includes an electronic device including a memory device for storing instructions, a network interface card, and a sensor. The system includes a processing device operatively coupled to the memory device, the network interface card, and the sensor, wherein the processing device executes the instructions to determine angles while a user is engaging one or more pedals of an electromechanical device, and transmit, via the network interface card, the angles to a computing device controlling the electromechanical device, and based on the angles satisfying a range of one or more respective motion threshold conditions, wherein, while the user operates at least one of the one or more pedals, the transmitting the angles to the computing device causes the computing device to increase a diameter of a range of motion of one of the one or more pedals.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04N 23/60 - Control of cameras or camera modules

Abstract

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/14 - Digital output to display device
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• H04L 65/403 - Arrangements for multi-party communication, e.g. for conferences
• H04L 65/75 - Media network packet handling
• H04L 65/756 - Media network packet handling adapting media to device capabilities

Abstract

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a cardio-oncologic condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and a treatment apparatus configured for implementation of the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A system includes a treatment apparatus configured to implement a treatment plan for rehabilitation to be performed by a user and a processing device configured to receive attribute data associated with the user; generate, based on the rehabilitation, selected attribute data; determine, based on the selected attribute data, the rehabilitation, and a rehabilitation goal associated with the rehabilitation, one or more probabilities of attaining the rehabilitation goal within respective one or more numbers of rehabilitation sessions to be performed by the user using the treatment apparatus; provide, based on the one or more probabilities, an indication of the one or more numbers of rehabilitation sessions; and generate, based on a selected number of rehabilitation sessions from among the one or more numbers of rehabilitation sessions, the treatment plan. The treatment plan includes one or more exercises directed to attaining the rehabilitation goal within the selected number of rehabilitation sessions.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04N 23/60 - Control of cameras or camera modules

Abstract

A method is disclosed for using an artificial intelligence engine to perform a control action. The control action is based on one or more measurements from a wearable device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the control action to be performed. The method includes receiving the one or more measurements from the wearable device being worn by a user, determining whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone, and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A63B 71/06 - Indicating or scoring devices for games or players
• G06N 20/00 - Machine learning

Abstract

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, and a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; identify at least one aspect of the treatment data pertaining to the user associated with a first treatment device mode of the treatment device; and, in response to a determination that the at least one aspect of the treatment data is correlated with at least one second condition of the user, generate second condition information indicating at least the second condition.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• A61B 5/021 - Measuring pressure in heart or blood vessels
• A61B 5/024 - Measuring pulse rate or heart rate
• A61B 5/08 - Measuring devices for evaluating the respiratory organs
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G06N 20/00 - Machine learning
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive data comprising a treatment plan, wherein the treatment plan includes one or more prescribed exercises for a user to perform using the electromechanical machine; generate, based on the data and certain criteria, a motion profile for an assembly of the electromechanical machine, wherein the motion profile comprises a movement shape of one or more portions of the electromechanical machine; execute a transformation function to implement, using the electromechanical machine, a desired virtual apparatus model, wherein, to implement the desired virtual apparatus model, the transformation function maps the motion profile to one or more coordinates in a domain; and control, using the desired virtual apparatus model, the one or more motors of the electromechanical machine.

IPC Classes  ?

• G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G02B 27/01 - Head-up displays
• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A system for rehabilitation is disclosed. The system for rehabilitation includes a monitoring device that includes a memory device storing instructions and a network interface card. The monitoring device is configured to detect information from a body part of a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the monitoring device. The one or more processing devices are configured to execute the instructions to receive configuration information specified in a treatment plan for rehabilitating the body part of the user. The one or more processing devices are configured to execute the instructions for receiving the information from the monitoring device. The one or more processing devices are further configured to execute the instructions to transmit the configuration information and the information to a computing device controlling an electromechanical device, via the network interface card.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04N 23/60 - Control of cameras or camera modules

Abstract

A system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The system also includes a computing device configured to: receive treatment data pertaining to the user who uses the electromechanical machine to perform the treatment plan; and modify at least one aspect of the treatment plan in response to receiving treatment plan input including at least one modification to the at least one of the at least one aspect and any other aspect of the treatment plan; and control, based on the modification, the operation of the electromechanical machine.

IPC Classes  ?

• A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
• A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
• G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A method is includes receiving a set of treatment plans that, when applied to patients, cause outcomes to be achieved by the patients, receiving a set of monetary value amounts associated with the set of treatment plans, receiving a set of constraints, where the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans. The method includes generating, by an artificial intelligence engine, customized treatment plans for a patient, where the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints. Each of the customized treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated. The method includes transmitting the customized treatment plans to a computing device. The method includes receiving a selection of a treatment plan and controlling an electromechanical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04N 23/60 - Control of cameras or camera modules

Abstract

A method is disclosed for providing, by an artificial intelligence engine, an improved treatment plan to use with an electromechanical machine. The method includes receiving, from a data source, clinical information pertaining to results of using the electromechanical machine to perform particular treatment plans for people having certain characteristics. The clinical information has a first data format. The method also includes translating a portion of the clinical information from the first data format to a medical description language used by the artificial intelligence engine, determining, based on the portion of the clinical information described by the medical description language and a plurality of characteristics pertaining to a patient, the improved treatment plan for the patient to follow using the electromechanical machine, and controlling, based on the improved treatment plan, the electromechanical machine.

IPC Classes  ?

• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• G06F 40/205 - Parsing
• G06N 3/02 - Neural networks
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.

IPC Classes  ?

• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• G06F 40/205 - Parsing
• G06N 3/02 - Neural networks
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

A computer-implemented system includes one or more processing devices configured to receive comorbidity information that includes a plurality of comorbidities or comorbidity-related conditions associated with a user, generate a selected set of the comorbidity information, determine, based on the selected set of the comorbidity information, respective probabilities of a plurality of different outcomes related to the comorbidity information, and generate, based on the respective probabilities and the selected set of the comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system may include a rowing machine, an interface comprising a display configured to present information pertaining to the treatment plan, and at least one processing device configured to receive, from sensors, measurements associated with the user, wherein the measurements are received while the user performs the treatment plan; determine, via machine learning models, content items to present to the user, wherein the determining is based on the measurements and one or more characteristics of the user; and while the user performs the treatment plan using the rowing machine, cause presentation of the content items on the interface, wherein the content items comprise at least information related to a state of the user, and the state of the user is associated with the measurements, the characteristics, or some combination thereof.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

In some embodiments, a system for rehabilitation includes an electronic device including a memory device for storing instructions, a network interface card, and a sensor. The system includes a processing device operatively coupled to the memory device, the network interface card, and the sensor, wherein the processing device executes the instructions to determine angles while a user is engaging one or more pedals of an electromechanical device, and transmit, via the network interface card, the angles to a computing device controlling the electromechanical device, and based on the angles satisfying a range of one or more respective motion threshold conditions, wherein, while the user operates at least one of the one or more pedals, the transmitting the angles to the computing device causes the computing device to increase a diameter of a range of motion of one of the one or more pedals.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/22 - ErgometryMeasuring muscular strength or the force of a muscular blow
• A61H 1/02 - Stretching or bending apparatus for exercising
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/00 - Games or sports accessories not covered in groups
• G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04N 23/60 - Control of cameras or camera modules
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A63B 7/06 - Rotors with hanging ropes
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials

Abstract

Systems and methods for identifying a condition of a user. An electromechanical machine is configured to be manipulated by the user for. An interface is communicably coupled to the electromechanical machine. A processing device and a memory are communicatively coupled to the processing device, and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to receive, from one or more sensors, one or more sensor inputs representative of one or more of characteristics of an anatomical structure of the user, calculate an infection probability based on the one or more characteristics of the anatomical structure, and output, to the interface, a representation of the infection probability.

IPC Classes  ?

• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/01 - Measuring temperature of body parts
• A61B 5/103 - Measuring devices for testing the shape, pattern, size or movement of the body or parts thereof, for diagnostic purposes
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 70/60 - ICT specially adapted for the handling or processing of medical references relating to pathologies

Abstract

The embodiments set forth a technique implemented by a computing device. The technique includes the steps of (1) receiving one or more characteristics associated with a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, cohort information, familial information, comorbidity information, healthcare professional information, or some combination thereof; (2) determining, based on the one or more characteristics, one or more conditions of the user, wherein the one or more conditions pertain to cardiac health, pulmonary health, bariatric health, oncologic health, cardio-oncologic health, or some combination thereof; (3) based on the one or more conditions, identifying, using one or more trained machine learning models, one or more subgroups to present via the display, wherein the one or more subgroups represent different partitions of the one or more characteristics; and (4) presenting, via the display, the one or more subgroups.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A computer-implemented system includes processing devices configured to receive attribute data associated with a user, determine, based on the attribute data, at least one of a probability of being eligible for the first bariatric procedure to be performed on the user, and generate, based on the at least one probability, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability, and a treatment apparatus configured for implementation of the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A method is disclosed for using an artificial intelligence engine to present a user interface capable of presenting the progress of a user in domains. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a user interface that causes icons to dynamically change position on the user interface. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the exercise device. The method includes presenting, on a computing device associated with the exercise device, sections of the user interface, wherein the sections are each related to a separate domain comprising the domains and wherein, based on the measurements, each section includes the icons placed.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06N 20/00 - Machine learning
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

IPC Classes  ?

• A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
• A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
• G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G06F 3/14 - Digital output to display device
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 23/04 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs
• A63B 71/06 - Indicating or scoring devices for games or players
• G06N 20/00 - Machine learning
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes a treatment apparatus manipulated by a patient while performing an exercise session and a patient interface that receives a virtual avatar. The patient interface presents the virtual avatar. The virtual avatar uses a virtual representation of the treatment apparatus to guide the patient through an exercise session. A server computing device provides the virtual avatar of the patient to the patient interface and receives a message pertaining to a trigger event. The message includes a severity level of the trigger event. The server computing device determines whether a severity level of the trigger event exceeds a threshold severity level, and responsive to determining the severity level of the trigger event exceeds the threshold severity level, replaces on the patient interface the presentation of the virtual avatar with a presentation of a multimedia feed from a computing device of the medical professional.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06N 20/00 - Machine learning
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan and a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. The computer-implemented system may also include a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; write to an associated memory, for access by an artificial intelligence engine, the treatment data; receive, from the artificial intelligence engine, at least one prediction; identify a threshold corresponding to the at least one prediction; and, in response to a determination that the at least one prediction is outside of the range of the threshold, update the treatment data pertaining to the user to indicate the at least one prediction.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06N 20/00 - Machine learning
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Abstract

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The method also comprises, while the user uses an electromechanical machine to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

Computer-implemented systems, methods, and tangible, non-transitory computer-readable media for detecting abnormal heart rhythms of a user performing treatment plan with an electromechanical machine. The system includes, in one embodiment, an electromechanical machine, and one or more processing devices. The electromechanical machine is configured to be manipulated by a user while the user is performing a treatment plan. The processing devices are configured to receive, while the user performs the treatment plan, measurements. The processing devices also configured to determine, using machine learning models, a probability that the measurements satisfy a threshold for a condition associated with an abnormal heart rhythm. The processing devices are further configured to perform preventative actions.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A method includes receiving at least one user profile associated with a user that indicates at least one condition of the user. The method may also include receiving healthcare professional profile information associated with respective healthcare professionals capable of interacting with the user and identifying treatment device information for treatment devices capable of being used by users having user profiles at least partially associated with the at least one user profile of the user. The method may also include generating at least one resource deployment prediction and generating at least one treatment plan, based on the at least one resource prediction, for the user.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G06N 20/00 - Machine learning
• G06Q 40/08 - Insurance
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, determine, based on the attribute data, a first probability of improving a medical condition of the user subsequent to at least one of a medical procedure being performed on the user, a medical treatment being performed on the user, and a medical diagnosis, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability. A treatment apparatus is configured to enable implementation of the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

In one aspect, computer-implemented method may include, while a battery pack is charging, receiving, from sensors, measurements associated with the battery pack. The battery pack includes cells. The method may include separating the measurements into separate profiles for the cells, wherein the separate profiles include data pertaining to current, voltage, temperature, or some combination thereof. The method may include identifying, using the separate profiles, features, generating a training dataset by reducing the features based on a mean-comparison technique, a minority scaling technique, or both, and generating a trained machine learning model using the training dataset including the reduced features as labeled input and true lithium plating occurrence statuses as labeled output. The method may include predicting, using the trained machine learning model, an occurrence of lithium plating by inputting subsequently received data into the trained machine learning model.

IPC Classes  ?

• G06N 20/00 - Machine learning
• B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
• G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
• G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
• G06Q 10/30 - Administration of product recycling or disposal
• H01M 10/44 - Methods for charging or discharging
• H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• A63B 71/06 - Indicating or scoring devices for games or players

Abstract

A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive data comprising a treatment plan; generate, based on the data, a motion profile for an assembly of the electromechanical machine; determine, based on a prescribed exercise of the one or more prescribed exercises, components to include to enable the user to perform, using the electromechanical machine, the prescribed exercise; validate, based on the components and configuration information pertaining to the electromechanical machine, whether the motion profile associated with the prescribed exercise is achievable with respect to a threshold achievement level; and determining, based on the one or more components and the configuration information, at least one missing component needed to achieve, with respect to the threshold achievement level, the motion profile for the prescribed exercise.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive data comprising a treatment plan including one or more prescribed exercises for a user to perform using the electromechanical machine, generate, using a treatment machine description language and based on one or more desired goals of a user, a virtual apparatus model of the electromechanical machine, wherein the virtual apparatus model is generated by a trained machine learning model; and generate, using the virtual apparatus model and the data, a motion profile; and control, using the motion profile, the one or more motors.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 71/06 - Indicating or scoring devices for games or players
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a cardio-oncologic condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a cardio-oncologic condition of the user subsequent to at least one of a cardio-oncologic procedure and a cardio-oncologic treatment being performed on the user, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and a treatment apparatus configured for implementation of the treatment plan.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A system and method for improving completion of an exercise is disclosed herein. In one embodiment, a method of a control system to improve compliance with an exercise plan for an exercise machine includes receiving one or more load measurements from one or more load cells of the exercise machine. The method also includes comparing the one or more load measurements to one or more target thresholds, and determining whether the one or more load measurements exceed the one or more target thresholds. Responsive to determining that the one or more load measurements exceed the one or more target thresholds, the method also includes causing a user interface to present an indication that the one or more target thresholds have been exceeded and an exercise is complete, wherein the exercise is included in the exercise plan.

IPC Classes  ?

• A63B 71/06 - Indicating or scoring devices for games or players
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 22/20 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements using rollers, wheels, castors or the like to be moved over the floor or other surface during exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

In one embodiment, a method is disclosed. The method includes, while the patient uses the treatment apparatus, controlling, based on a treatment plan for a patient, a treatment apparatus. The method includes receiving, by a processing device, data from an electronic device, wherein the data comprises one of a position of a body part of the patient or a force exerted by the body part. The method includes storing, via the processing device, the data for the patient in a computer-readable medium. The method includes causing, via a processing device, presentation of a user interface on a patient interface. The user interface comprises an adjustment confirmation control, and the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 21/00 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 71/06 - Indicating or scoring devices for games or players

Abstract

In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive first data comprising information pertaining to motion of one or more pedals of the electromechanical machine, wherein the motion is associated with one or more users performing one or more treatment plans; receive second data comprising information pertaining to one or more characteristics of the one or more users performing the treatment plan, wherein the characteristics comprise performance information, measurement information, personal information, or some combination thereof; identify one or more correlations between at least some of the first data and at least some of the second data; and generate, based on the one or more treatment plans and the one or more correlations, one or more motion profiles for an assembly of the electromechanical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 23/035 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
• A63B 23/04 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs
• A63B 23/12 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for upper limbs
• A63B 71/06 - Indicating or scoring devices for games or players
• G06N 20/00 - Machine learning
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 21/002 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices isometric or isokinetic, i.e. substantial force variation without substantial muscle motion
• A63B 21/005 - Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
• A63B 21/22 - Resisting devices with rotary bodies
• A63B 22/00 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
• A63B 22/18 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with elements having a circulating or rotating movement, generated by oscillating movement of the user
• A63B 23/08 - Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for lower limbs for ankle-joints

Abstract

A system includes a treatment apparatus configured to implement a treatment plan for rehabilitation to be performed by a user and a processing device configured to receive attribute data associated with the user; generate, based on the rehabilitation, selected attribute data; determine, based on the selected attribute data, the rehabilitation, and a rehabilitation goal associated with the rehabilitation, one or more probabilities of attaining the rehabilitation goal within respective one or more numbers of rehabilitation sessions to be performed by the user using the treatment apparatus; provide, based on the one or more probabilities, an indication of the one or more numbers of rehabilitation sessions; and generate, based on a selected number of rehabilitation sessions from among the one or more numbers of rehabilitation sessions, the treatment plan. The treatment plan includes one or more exercises directed to attaining the rehabilitation goal within the selected number of rehabilitation sessions.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A machine includes a body with an arm having a proximal end and a distal end. The proximal end is pivotally mounted to the body, and the distal end is free to move relative to the body. A carriage is slidably mounted to the arm for movement along a length of the arm. A pedal assembly is rotatably coupled to the carriage for movement with the carriage along the length of the arm. The pedal assembly supports a foot of a user of the machine. Motors are mounted to the body and spaced apart from each other and spaced apart from the distal end of the arm. Cables are coupled to respective ones of the motors and to the carriage. A control system selectively extends and retracts the cables with the motors to cause the pedal assembly to move in prescribed pedaling patterns relative to the body.

IPC Classes  ?

• A63B 22/06 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with rotating cycling movement
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

A computer-implemented system includes a treatment apparatus configured to implement a treatment plan while the treatment apparatus is being manipulated by a user and a processing device configured to receive a plurality of risk factors, each of the plurality of risk factors being associated with one or more medical events or outcomes for a user; generate a set of the risk factors; determine, based on the set of the risk factors and measurement information associated with the user, one or more individual probabilities that the one or more medical events or outcomes will occur while the treatment apparatus is being manipulated by the user; and perform, based on the one or more individual probabilities, one or more corrective actions associated with the one or more medical events or outcomes.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A treadmill comprises a pair of rollers and a belt coupled to and extending between the pair of rollers. The belt encircles a support platform suspended between the pair of rollers. A motor is operatively coupled to one of the pair of rollers to rotate the one of the pair of rollers such that rotation of the rollers causes the belt to rotate around the support platform suspended between the pair of rollers. The treadmill further comprises a processing device configured to cause the treadmill to perform an action associated with a use of the treadmill by the user based on whether the processing device receives certain messages; cause content items to be presented to the user; assign the treatment plan to the treadmill based on a determined eligibility of the user; and implement the treatment plan to reduce a probability of a cardiac intervention for the user.

IPC Classes  ?

• A63B 22/02 - Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands
• A63B 71/06 - Indicating or scoring devices for games or players

Abstract

A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive data comprising a treatment plan including one or more prescribed exercises for a user to perform using the electromechanical machine; generate, based on the data, a motion profile for an assembly of the electromechanical machine, wherein the assembly is coupled to a carriage to enable movement along a length of an arm, wherein the carriage is coupled to each cable of the first set of cables; execute a transformation function to implement a desired virtual apparatus model using the electromechanical machine, wherein, to implement the desired virtual apparatus model, the transformation function maps the motion profile to one or more coordinates in a domain; and control, using the desired virtual apparatus model, the one or more motors of the electromechanical machine.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric

Abstract

Systems, methods, and computer-readable media for improving cardiovascular health such that the need for a cardiac intervention is mitigated. The system includes one or more processing devices and an electromechanical machine. The one or more processing device are configured to receive a plurality of risk factors associated with a cardiac-related event for a user. The one or more processing device are also configured to generate a selected set of the risk factors. The one or more processing device are further configured to determine, based on the selected set of the risk factors, a probability that a cardiac intervention will occur. The one or more processing device are also configured to generate, based on the probability and the selected set of the risk factors, a treatment plan including exercises directed to reducing the probability that the cardiac intervention will occur. The electromechanical machine is configured to implement the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups

Abstract

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received while a user performs a treatment plan. The one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with a user; (2) determining, based on the health information, whether the user is eligible for cardiac rehabilitation, wherein the cardiac rehabilitation uses an electromechanical machine; and (3) in response to determining the user is eligible for cardiac rehabilitation, generating a treatment plan for the user, wherein the treatment plan pertains to a cardiac rehabilitation that is specific to the user, and the treatment plan comprises use of the electromechanical machine.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A computer-implemented method is disclosed. The method includes determining a maximum target heart rate for a user using an electromechanical machine to perform a treatment plan, wherein the electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan. The method includes receiving, via an interface, an input pertaining to a perceived exertion level of the user, wherein the interface comprises a display configured to present information pertaining to the treatment plan. Based on the perceived exertion level and the maximum target heart rate, the method includes determining an amount of resistance for the electromechanical machine to provide via one or more pedals physically or communicatively coupled to the electromechanical machine. While the user performs the treatment plan, the method includes causing the electromechanical machine to provide the amount of resistance.

IPC Classes  ?

• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

Systems, methods, and computer-readable media for assigning remote monitoring sessions. The system includes an electromechanical machine, one or more sensors, and one or more processing devices. The electromechanical machine is configured to be manipulated by a user while performing a treatment plan. The one or more sensors are configured to determine measurements of one or more vital signs associated with the user. The one or more processing devices are configured to receive a request to conduct a monitored session of the user performing the treatment plan. The one or more processing devices are also configured to determine whether conducting the monitored session with a computing device will violate one or more remote monitoring rules. The one or more processing device are further configured to initiate the monitored session by displaying the measurements on a display of the computing device while the user performs the treatment plan.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment

Abstract

A computer-implemented system includes an interface comprising a display configured to display interface presentation data pertaining to a user using an electromechanical machine to perform a treatment plan and one or more processing devices configured to receive selected measurement information associated with the user and treatment plan information associated with the treatment plan, generate the interface presentation data based on the selected measurement information and the treatment plan information, and enable the interface to present, in a portion of the display, the interface presentation data for the user. The portion of the display includes one or more graphical elements that present, in real-time or near real-time, at least one type of the selected measurement information and the treatment plan information.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A computer-implemented system includes an interface comprising a display configured to display interface presentation data pertaining to a plurality of users each using a respective electromechanical machine to perform a treatment plan and one or more processing devices configured to receive selected measurement information associated with each of the plurality of users, generate the interface presentation data based on the selected measurement information; and enable the interface to present, in respective portions of the display, the interface presentation data for each of the plurality of users. Each of the respective portions comprises a graphical element that presents, in real-time or near real-time, at least one type of the selected measurement information.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment