Abstract

In accordance with a method of detecting a pressure induced sensor artifact (PISA) in an analyte trace, a measured analyte trace having a plurality of data samples obtained over a period of time from an analyte sensor is received. A reconstructed analyte trace and an associated confidence window is generated from the measured analyte trace using a Bayesian denoising algorithm that includes a model that models the measured analyte trace as a sum of an unknown true analyte trace and a measurement error. The measured analyte trace is compared to the reconstructed analyte trace to identify data samples in the measured analyte trace that are located outside of the confidence window as being associated with a PISA.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis

Abstract

An unsupervised method of detecting a pressure induced sensor artifact (PISA) in an analyte signal includes receiving an analyte trace having a plurality of data samples obtained over a period of time. A plurality of predetermined features reflective of a PISA in the analyte trace is extracted to produce a plurality of data points in a feature space defined by the plurality of predetermined features. The data points in the feature space are analyzed using an unsupervised anomaly detection algorithm to produce an anomaly score for each of the data points. Data points that have an anomaly score that exceeds a threshold are identified. An alert is generated indicating that a PISA is present in data samples associated with the data points that have an anomaly score that exceeds the threshold.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

In an embodiment, a method of dynamically adapting analyte rate-of-change determination to a current patient context includes receiving, from a continuous analyte monitoring system, a plurality of analyte measurements of a patient. The method also includes automatically determining a current context for the patient based on the plurality of analyte measurements. The method also includes automatically configuring an analyte rate-of-change determination based on the current context. The method also includes generating a context-adapted rate-of-change measurement based on the automatically configured analyte rate-of-change determination and the plurality of analyte measurements.

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 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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 an embodiment, one general aspect includes a method of optimizing data transmission from a device to a remote target. The method includes receiving analyte measurements from a continuous analyte monitoring (CAM) system. The method also includes determining a current status of a connection between the device and the CAM system. The method also includes conditionally transmitting data related to the analyte measurements over a network to a remote target based on the current status of the connection.

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 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

In an embodiment, a method of optimizing analyte event identification includes receiving, from a continuous analyte monitoring system, first analyte measurements determined for a patient during a first time period. The method also includes transforming the first analyte measurements into first relevance metrics that each indicate a probability of an occurrence of a defined analyte event during the first time period. The method also includes generating a personalized analyte signature for the patient for the first time period based on the first relevance metrics. The method also includes automatically identifying one or more analyte events for the patient based on an evaluation of additional analyte measurements determined for the patient relative to the personalized analyte signature for the patient.

IPC Classes  ?

• G16H 40/63 - 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 local operation
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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 20/17 - 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 delivered via infusion or injection

Abstract

In implementations of systems for determining a similarity of sequences of glucose values, a computing device implements a similarity system to receive input data describing a sequence of user glucose values measured by a continuous glucose monitoring (CGM) system. The similarity system computes similarity scores for a plurality of sequences of glucose values by comparing each glucose values included in the sequence of user glucose values with ever glucose value included in each sequence of the plurality of sequences. A particular sequence of glucose values that is associated with a highest similarity score is identified. The similarity system determines an externality associated with the particular sequence. The similarity system generates an indication of the externality for display in a user interface.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

Various examples are directed to systems and methods for generating an estimated analyte value. An analyte sensor system may access a first sensor signal from an in vivo analyte sensor and a first temperature signal from the ex vivo temperature sensor. The analyte sensor system may generate a first analyte sensor temperature based at least in part on the first temperature signal and generate a first estimated analyte value based at least in part on the first sensor signal and the first temperature-compensated sensitivity.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/01 - Measuring temperature of body parts
• A61B 5/024 - Measuring pulse rate or heart rate
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means

Abstract

Systems, techniques, and devices for performing passive continuous authentication of a user of display device are disclosed. In certain embodiments, the techniques include obtaining first information including at least one of (i) non-analyte sensor data from one or more sensors of a display device or (ii) analyte sensor data from an analyte sensor system. The techniques further include authenticating an identity of the user of the display device at a first point in time and based on the first information. The techniques further include allowing the user of the display device to access a medical device software running on the display device without prompting the user for authentication information, upon determining that the authentication at the first point in time is successful.

IPC Classes  ?

• G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
• 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, devices, and methods are disclosed for wireless communication of analyte data. In embodiments, a method of using a diabetes management partner interface to configure an analyte sensor system for wireless communication with a plurality of partner devices is provided. The method includes the analyte sensor system receiving authorization to provide one of the partner devices with access to a set of configuration parameters via the diabetes management partner interface. The set of configuration parameters is stored in a memory of the analyte sensor system. The method also includes, responsive to input received from the one partner device via the diabetes management partner interface, the analyte sensor system setting or causing a modification to the set of configuration parameters, according to a system requirement of the one partner device.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• 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 10/65 - 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 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• 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
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/06 - Authentication
• H04W 52/02 - Power saving arrangements
• H04W 76/14 - Direct-mode setup

Abstract

The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter

Abstract

Various examples are directed to analyte sensor systems and methods. For example, an analyte sensor system may comprise an analyte sensor to generate a raw sensor signal, a temperature sensor positioned remote from the analyte sensor and configured to generate a raw temperature signal, and sensor electronics. The sensor electronics may generate a desired sensor signal and generate an analyte concentration based at least in part on the desired sensor signal. The generating of the desired sensor signal may be based at least in part on the raw temperature signal.

IPC Classes  ?

• A61B 5/01 - Measuring temperature of body parts
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Various examples are directed to analyte sensor systems and methods of using analyte sensor systems. For example, it may be determined that an analyte sensor of the analyte sensor system was inserted into an interstitial region of a host at an insertion time. After the insertion time, a first value of a raw sensor signal generated by the analyte sensor may be sampled. A first estimated interstitial analyte concentration may be determined based on the first value of the raw sensor signal. An offset value may be added to the first estimated interstitial analyte concentration to generate a first estimated blood analyte concentration for the host.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/1495 - Calibrating or testing in vivo probes

Abstract

An analyte sensor system may include an analyte sensor configured to generate a raw sensor signal associated with an analyte concentration of a host. Sensor electronics may be configured to generate estimated analyte values from the raw sensor signal, determine a rate of change for the estimated analyte values or the raw signal, determine a working electrode temperature, and determine an elapsed time since sensor insertion. The sensor electronics may improve sensor performance by determining a prediction horizon as a function of at least one of the elapsed time and the working electrode temperature, determining a time-lag- compensated estimated analyte value for one of the estimated analyte values as a function of the determined prediction horizon and the rate-of-change, and adjusting estimated analyte values by applying a correction that is a function of the estimated analyte values.

Abstract

Various examples are directed to a glucose sensor comprising a working electrode to support an oxidation reaction and a reference electrode to support a redox reaction. The reference electrode may comprise silver and silver chloride. The Glucose sensor may also comprise an anti-mineralization agent positioned at the reference electrode to reduce formation of calcium carbonate at the reference electrode.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means
• C09D 133/08 - Homopolymers or copolymers of acrylic acid esters
• G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells
• G01N 27/327 - Biochemical electrodes

Abstract

Certain aspects of the present disclosure relate to methods and systems for calibrating a continuous analyte sensor system while considering the effects or influence of manufacturing conditions experienced by a sensor. In certain aspects, the system determines a sensitivity value for the analyte sensor system and determines, based on the sensitivity value and a manufacturing parameter representing a condition experienced by the analyte sensor system during manufacturing of the analyte sensor system, a calibration parameter for the analyte sensor system. The system also configures the analyte sensor system to convert an electrical current generated by the analyte sensor system into an analyte concentration using the calibration parameter.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/1495 - Calibrating or testing in vivo probes

Abstract

Described is a system for detecting the onset of Progressive Sensor Decline (PSD) by receiving a first analyte signal associated with a raw analyte measurement of a host from an analyte sensor within a first time period; receiving a first temperature signal associated with a first temperature measurement of the host from a temperature sensor within the first time period; determining a first relationship between the first analyte signal and the first temperature signal; receiving a second analyte signal associated with a raw analyte measurement of the host from the analyte sensor within a second time period; receiving a second temperature signal associated with a second temperature measurement of the host from the temperature sensor within the second time period; determining a second relationship between the second analyte signal and the second temperature signal; and determining an onset of sensor sensitivity degradation of the analyte sensor based on the first and second relationships.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/01 - Measuring temperature of body parts

Abstract

Described is a system for an adaptive filter for removing temperature- related artifacts by generating a first raw analyte signal associated with an analyte measurement of a host within a first time period; generating a first temperature signal associated with a first temperature measurement of the host within the first time period: detecting a temperature characteristic in the temperature signal exceeding a predetermined threshold; applying the analyte signal and the temperature signal to an adaptive filter to dynamically update filter coefficients based on the analyte signal and the temperature signal; applying the updated filter coefficients to a signal filter to generate a corrective signal; and generating a corrected analyte signal by applying the corrective signal to the analyte signal.

IPC Classes  ?

• A61B 5/01 - Measuring temperature of body parts
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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

Techniques and protocols for establishing secure communications between a display device, a sensor system, and a server system are disclosed. In certain embodiments, the techniques and protocols include secure diabetes device identification techniques and protocols, user-centric mutual authentication techniques and protocols, and device-centric mutual authentication techniques and protocols.

IPC Classes  ?

• G16H 40/63 - 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 local operation
• H04W 12/041 - Key generation or derivation
• H04W 12/069 - Authentication using certificates or pre-shared keys
• H04W 12/08 - Access security

Abstract

Aspects of the present disclosure provide techniques for measuring an ion concentration level of a user of a wearable device. An example method performed by the wearable device includes applying, using a potentiostat of the wearable device, a bias voltage to an ion selective electrode (ISE) of a transcutaneous ion sensor of the wearable device, measuring a current associated with the ISE of the transcutaneous ion sensor, adjusting the bias voltage based on the measured current associated with the ISE until the measured current is within a threshold range, determining, based at least in part on the measured current, the ion concentration level of the user, and transmitting an indication of the ion concentration level of the user to a display device for display to the user.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/257 - Means for maintaining electrode contact with the body using adhesive means, e.g. adhesive pads or tapes
• A61B 5/262 - Needle electrodes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

IPC Classes  ?

• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/01 - Measuring temperature of body parts
• A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• A61B 5/024 - Measuring pulse rate or heart rate
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• G01N 27/327 - Biochemical electrodes
• 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

The present embodiments relate generally to systems and methods for measuring an analyte in a host. More particularly, the present embodiments provide sensor applicators and methods of use to insert the sensor into an individual's skin. Applicators are disclosed for inserting the sensor. Such applicators may be reusable applicators configured to implant multiple different sensors.

IPC Classes  ?

• A61B 17/34 - TrocarsPuncturing needles
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

The present disclosure relates to an analyte monitoring system that implements various features using artificial intelligence to assist the user in addressing or remediating metabolic events. For example, the system analyze images or text narratives using artificial intelligence to detect user actions and link the user actions to metabolic events. As another example, the system may use artificial intelligence to provide recommendations or responses to users. The system may use artificial intelligence to predict meal duration, and the system may group data to reduce input data to a machine learning model.

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

Abstract

Various examples are directed to systems and methods for generating a bolus dose for a host. A bolus application may display a first bolus configuration parameter question at a user interface and receive, through the user interface, a first answer to the first bolus configuration parameter question. The first answer may describe a previous bolus determination technique of the host. The bolus application may select a second bolus configuration parameter question using the first answer and provide the second bolus configuration parameter question at the user interface. The bolus application may determine a set of at least one bolus configuration parameter using the first answer and a second answer to the second bolus configuration parameter question.

IPC Classes  ?

• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G16H 20/17 - 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 delivered via infusion or injection
• 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

Aspects of the present disclosure provide an analyte sensor system, including a transcutaneous analyte sensor an analog front end (AFE), and a micro controller unit (MCU). The AFE may be configured to perform, using the transcutaneous analyte sensor, one or more measurements associated with a user during at least a first measurement interval and perform one or more actions to maintain time synchronization associated with the MCU retrieving the one or more measurements from the AFE. The MCU may be configured to operate in a sleep mode during the at least the first measurement interval, exit the sleep mode and retrieve the one or more measurements for the first measurement interval from the AFE based on the one or more actions, and transmit data associated with the one or more measurements to a display device for display to the user.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G16H 40/63 - 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 local operation
• 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

The present disclosure relates to an analyte monitoring system for completing and smoothing analyte sensor signals. The system includes an analyte sensor system, a memory, and a processor. The processor detects a first gap in a time series of analyte sensor measurements from the analyte sensor system. The first gap is between a first data point in the time series and a second data point in the time series. The processor interpolates between the first data point and the second data point to determine a fill data point and adds the fill data point to the first gap. The processor determines an average of at least (i) a value of the first data point, (ii) the fill data point, and (iii) a third data point preceding the first data point in the time series and sets the value of the first data point to the determined average.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G16H 40/63 - 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 local operation

Abstract

In some aspects, a method of enhancing security of a computing application. The method includes establishing, by a debugger blocking module of the computing application, a connection to a debugger port associated with the computing application to block other connections to the debugger port. The method further includes determining, by a bypass check module of the computing application, that the debugger blocking module has been modified. The method further includes, responsive to the determining that the debugger blocking module has been modified, performing, by the computing application, one or more actions to protect the computing application from debugger access.

IPC Classes  ?

• G06F 21/12 - Protecting executable software
• G06F 21/51 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability
• G06F 21/55 - Detecting local intrusion or implementing counter-measures

Abstract

Certain aspects of the present disclosure provide systems and techniques for rapid detection of repetitive metabolic events in a host based on measured analyte data provided by an analyte monitor worn by the host. An example system is configured to obtain measured glucose data of the host. A subset of the measured glucose data is determined, based on performing a filtering operation on the measured glucose data. A respective range of a likelihood of an occurrence of a metabolic is determined for each value within the subset of the measured glucose data. For at least one value within the subset of the measured glucose data, a state of the metabolic event is determined based in part on at least one of an upper bound or a lower bound of the respective range corresponding to the at least one value within the subset of the measured glucose data.

IPC Classes  ?

• G16H 20/17 - 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 delivered via infusion or injection
• 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

Abstract

The present disclosure relates to an analyte monitoring system that implements multiple features to improve or augment metabolic event detection, analysis, and presentation. For example, the analyte monitoring system may implement personalized thresholds and detect patterns of significant metabolic events. The analyte monitoring system may also determine spike impact and link events to actions or behaviors. Additionally, the analyte monitoring system may implement a user interface for presenting information about metabolic events.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G16H 40/63 - 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 local 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

Abstract

Certain embodiments herein relate to a physiological parameter monitoring system. The system may include a sensor and sensor electronics connectable to the sensor. The system may also include a transmitter operably connected to the sensor electronics, the transmitter having or being configured to have at least a portion thereof positioned at a first location adjacent to and/or in contact with an external surface of a body of a host during a sensor session, the transmitter further configured to wirelessly transmit sensor information using human body communication. The system may further include a first display device comprising a display and a receiver, the receiver having or being configured to have at least a portion thereof positioned at a second location adjacent to and/or in contact with the external surface of the body during the sensor session, the receiver further configured to receive sensor information from the transmitter using human body communication.

IPC Classes  ?

• H04B 13/00 - Transmission systems characterised by the medium used for transmission, not provided for in groups
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Certain aspects of the present disclosure provide systems and techniques for rapid detection of repetitive metabolic events in a host based on measured analyte data provided by an analyte monitor worn by the host. An example system is configured to obtain measured glucose data of the host. A subset of the measured glucose data is determined, based on performing a filtering operation on the measured glucose data. A respective range of a likelihood of an occurrence of a metabolic is determined for each value within the subset of the measured glucose data. For at least one value within the subset of the measured glucose data, a state of the metabolic event is determined based in part on at least one of an upper bound or a lower bound of the respective range corresponding to the at least one value within the subset of the measured glucose data.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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

Abstract

The present disclosure relates to an analyte monitoring system for completing and smoothing analyte sensor signals. The system includes an analyte sensor system, a memory, and a processor. The processor detects a first gap in a time series of analyte sensor measurements from the analyte sensor system. The first gap is between a first data point in the time series and a second data point in the time series. The processor interpolates between the first data point and the second data point to determine a fill data point and adds the fill data point to the first gap. The processor determines an average of at least (i) a value of the first data point, (ii) the fill data point, and (iii) a third data point preceding the first data point in the time series and sets the value of the first data point to the determined average.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

In an embodiment, a method includes receiving analyte measurements of a patient for a time period. The method further includes providing, to a user, an interface for supplying contextual data indicative of contextual events for the time period and receiving the contextual data via the provided interface. The method further includes analyzing the analyte measurements and the contextual events to determine a condensed timeline of patient data for the time period, the condensed timeline of patient data including a partial subset of the contextual events. The method further includes presenting information related to the condensed timeline to the patient.

IPC Classes  ?

• G16H 20/17 - 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 delivered via infusion or injection
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G16H 40/63 - 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 local operation
• 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 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Adhesive pad systems that provide longer lasting adherence of the mounting unit to the host's skin are provided. Some systems include a reinforcing overlay that at least partially covers the adhesive pad. The reinforcing overlay may be removable without disturbing the sensor so that the overlay may be replaceable.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Detection of anomalous computing environment behavior using glucose is described. An anomaly detection system receives glucose measurements and event records during a first time period. Missing events that are missing from the event records during the first time period are identified by processing the glucose measurements using an event engine simulator. An anomaly detection model is generated based on the missing events during the first time period. Subsequently, the anomaly detection system receives additional glucose measurements and additional event records during a second time period. Missing events that are missing from the additional event records during the second time period are identified by processing the additional glucose measurements using the event engine simulator. Anomalous behavior is detected if the identified missing events that are missing from the event records during the second time period are outside a predicted range of missing events of the anomaly detection model.

IPC Classes  ?

• 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
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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

Abstract

Disclosed are devices for determining an analyte concentration. The devices comprise a sensor configured to generate a signal associated with a concentration of an analyte and an electronics unit operatively connected to the sensor. The electronics unit may be engaged with a housing that may secure the device to a host's skin. In this regard, in one embodiment, the housing may be attached to an adhesive patch that is fastened to the skin of the host.

IPC Classes  ?

• G01N 27/327 - Biochemical electrodes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61K 31/045 - Hydroxy compounds, e.g. alcoholsSalts thereof, e.g. alcoholates
• A61K 31/137 - Arylalkylamines, e.g. amphetamine, epinephrine, salbutamol, ephedrine
• A61K 31/46 - 8-Azabicyclo [3.2.1] octaneDerivatives thereof, e.g. atropine, cocaine
• A61K 31/465 - NicotineDerivatives thereof
• A61K 31/485 - Morphinan derivatives, e.g. morphine, codeine
• A61K 31/515 - Barbituric acidsDerivatives thereof, e.g. sodium pentobarbital
• A61K 31/56 - Compounds containing cyclopenta[a]hydrophenanthrene ring systemsDerivatives thereof, e.g. steroids
• A61K 33/00 - Medicinal preparations containing inorganic active ingredients
• A61K 36/185 - Magnoliopsida (dicotyledons)
• A61K 38/28 - Insulins
• C08L 39/06 - Homopolymers or copolymers of N-vinyl-pyrrolidones
• C08L 69/00 - Compositions of polycarbonatesCompositions of derivatives of polycarbonates
• C08L 75/04 - Polyurethanes
• C12N 11/08 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer
• C12N 11/089 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds
• C12N 11/093 - Polyurethanes
• C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
• G01N 27/40 - Semi-permeable membranes or partitions
• G01N 33/66 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving blood sugars, e.g. galactose

Goods & Services

Providing information about technology used for health, medical, and disease monitoring and treatment; providing information in the field of medical technology and medical apparatus and instruments

Abstract

Aspects of the present disclosure provide a wearable device for potentiometric-based analyte measurements. The wearable device includes a transcutaneous analyte sensor configured to perform potentiometric-based measurements of an analyte concentration level of a user. The transcutaneous analyte sensor includes a working electrode for receiving a first input signal and a reference electrode for receiving a second input signal. The wearable device also include one or more operational amplifiers configured to receive the first input signal and the second input signal and output an output signal representing a differential between the first input signal and second input signal. Additionally, the wearable device includes an analog to digital converter (ADC) configured to convert the output signal to a digital signal and one or more processors configured to receive the digital signal from the ADC and process the digital signal to determine the analyte concentration level of the user.

IPC Classes  ?

• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1495 - Calibrating or testing in vivo probes

Abstract

Methods and apparatus, including computer program products, are provided for backfilling. In some example embodiments, there is provided a method that includes receiving, at a receiver, backfill data representative of sensor data stored, at a continuous blood glucose sensor and transmitter assembly, due to a loss of a wireless link between the receiver and the continuous blood glucose sensor and transmitter assembly; generating, at the receiver, at least one of a notification or a graphically distinct indicator for presentation at a display of the receiver, the at least one of the notification or the graphically distinct indicator enabling the backfill data to be graphically distinguished, when presented at the display, from non-backfill data; and generating, at the receiver, a view including the backfill data, the non-backfill data, and the generated at least one of the notification or the graphically distinct indicator. Related systems, methods, and articles of manufacture are described.

IPC Classes  ?

• G16H 40/63 - 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 local operation
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G06F 3/14 - Digital output to display device
• G06F 16/903 - Querying
• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06T 11/00 - 2D [Two Dimensional] image generation
• G06T 11/20 - Drawing from basic elements, e.g. lines or circles
• G09G 5/377 - Details of the operation on graphic patterns for mixing or overlaying two or more graphic patterns
• 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 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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
• H04W 12/02 - Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
• H04W 12/033 - Protecting confidentiality, e.g. by encryption of the user plane, e.g. user’s traffic
• H04W 12/06 - Authentication

Abstract

Systems and method are described for determining if a decision support recommendation is to be presented to a user for treatment of a diabetic state, including receiving a plurality of input data items impacting a diabetic state of a user of continuous glucose monitor, the input data items serving as input data to a process for determining a decision support recommendation; assigning a reliability level to each of the input data items; calculating a reliability metric based on the reliability levels assigned to each of the input data items; determining a decision support recommendation based on the process and the input data and presenting the decision support recommendation to the user on a user interface only if the reliability metric exceeds a threshold.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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 20/17 - 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 delivered via infusion or injection
• 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 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

Certain embodiments provide a method for analyte sensor system long term drift compensation. The method may include generating calibration data for an analyte sensor in a group of analyte sensors, generating long term drift data based on one or more of the analyte sensors in the group, predicting an initial model sensitivity and a final model sensitivity for the analyte sensors in the group based on the calibration data and a model that is trained based on the calibration data for the analyte sensors in the group and the long term drift data, determining an initial in vivo sensitivity and a final in vivo sensitivity for the analyte sensor based on the initial model sensitivity and final model sensitivity, and storing the initial in vivo sensitivity and the final in vivo sensitivity in a memory of the analyte sensor.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

Various analyte sensor systems for controlling activation of analyte sensor electronics circuitry are provided. Related methods for controlling analyte sensor electronics circuitry are also provided. Various analyte sensor systems for monitoring an analyte in a host are also provided. Various circuits for controlling activation of an analyte sensor system are also provided. Analyte sensor systems utilizing a state machine having a plurality of states for collecting a plurality of digital counts and waking a controller responsive to a wake up signal are also provided. Related methods for such analyte sensor systems are also provided. Systems for controlling activation of analyte sensor electronics circuitry utilizing a magnetic sensor are further provided. One or more display device configured to display one or more analyte concentration values are also provided.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
• A61B 5/1495 - Calibrating or testing in vivo probes
• H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• H04W 76/14 - Direct-mode setup

Abstract

Systems, devices, and methods are disclosed for wireless communication of analyte data. In this regard, in embodiments, a mobile includes a transceiver configured to transmit and receive wireless signals. The mobile device includes circuitry operatively coupled to the transceiver. The mobile device also includes a non-transitory computer-readable medium operatively coupled to the circuitry and storing instructions that, when executed, cause the mobile device to perform a number of operations. One such operation is to obtain a derivative of a first signal received via a first link. Another such operation is to obtain a derivative of a second signal received via a second link; and. Yet another such operation is to generate a selection for connection to an analyte sensor system, based on a comparison of the derivative of the first signal and the derivative of the second signal.

IPC Classes  ?

• H04W 76/10 - Connection setup
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• H04B 17/318 - Received signal strength
• H04B 17/391 - Modelling the propagation channel
• H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

In some embodiments, a system includes a processor in data communication with a memory having executable instructions. The processor is configured to execute the executable instructions to identify a current levodopa (L-DOPA) level in a patient's system and to determine an impact of the current L-DOPA level on the patient. The processor is also configured to execute the executable instructions to adjust a dosage of L-DOPA administered to the patient based on the current L-DOPA level and the impact.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/0533 - Measuring galvanic skin response
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb

Abstract

Disclosed herein are devices, systems, and methods for a continuous analyte sensor, such as a continuous glucose sensor. In certain embodiments disclosed herein, various in vivo properties of the sensor's surroundings can be measured. In some embodiments, the measured properties can be used to identify a physiological response or condition in the body. This information can then be used by a patient, doctor, or system to respond appropriately to the identified condition.

IPC Classes  ?

• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1459 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters invasive, e.g. introduced into the body by a catheter
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase

Abstract

Described here are embodiments of processes and systems for the continuous manufacturing of implantable continuous analyte sensors. In some embodiments, a method is provided for sequentially advancing an elongated conductive body through a plurality of stations, each configured to treat the elongated conductive body. In some of these embodiments, one or more of the stations is configured to coat the elongated conductive body using a meniscus coating process, whereby a solution formed of a polymer and a solvent is prepared, the solution is continuously circulated to provide a meniscus on a top portion of a vessel holding the solution, and the elongated conductive body is advanced through the meniscus. The method may also comprise the step of removing excess coating material from the elongated conductive body by advancing the elongated conductive body through a die orifice. For example, a provided elongated conductive body 510 is advanced through a pre-coating treatment station 520, through a coating station 530, through a thickness control station 540, through a drying or curing station 550, through a thickness measurement station 560, and through a post-coating treatment station 570.

IPC Classes  ?

• B23K 26/362 - Laser etching
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• B05C 3/02 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material
• B05C 3/10 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating separate articles the articles being moved through the liquid or other fluent material
• B05C 3/12 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating work of indefinite length
• B05C 5/02 - Apparatus in which liquid or other fluent material is projected, poured or allowed to flow on to the surface of the work from an outlet device in contact, or almost in contact, with the work
• B05D 1/18 - Processes for applying liquids or other fluent materials performed by dipping
• B05D 3/06 - Pretreatment of surfaces to which liquids or other fluent materials are to be appliedAfter-treatment of applied coatings, e.g. intermediate treating of an applied coating preparatory to subsequent applications of liquids or other fluent materials by exposure to radiation
• B23K 26/08 - Devices involving relative movement between laser beam and workpiece
• C23C 2/00 - Hot-dipping or immersion processes for applying the coating material in the molten state without affecting the shapeApparatus therefor

Abstract

Systems and methods for analyte monitoring, particularly systems and methods for monitoring and managing life of a battery in an analyte sensor system worn by a user, are provided.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.

IPC Classes  ?

• 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 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes

Abstract

Aspects of the present disclosure provide techniques for issuing application- centric certificates for a health monitoring application of a display device to allow anonymous users or users managed by a third-party organization to operate an analyte sensor system. An example method includes obtaining a set of credentials for an account provisioned without personal identification information of a user associated with the analyte sensor system, wherein the account is provisioned on an centralized account management services (CAMS) entity associated with a manufacturer of the analyte sensor system, sending, to a trusted identity provider (IdP) entity, the set of credentials for the account, obtaining, from the IdP entity, an access token, sending, to a certificate management system (CMS) entity, the access token and a signed message including a certificate signing request (CSR) and identity information for the health monitoring application, and obtaining the application-centric certificate for the health monitoring application.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• H04W 12/069 - Authentication using certificates or pre-shared keys
• H04W 12/50 - Secure pairing of devices
• H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system

Abstract

The present disclosure provides systems, methods, and devices for recovery and/or adjustment of an alert state of a continuous analyte monitoring system following signal loss events associated with wireless connections between an analyte sensor system and a display device. Certain embodiments of the present disclosure describe a continuous analyte monitoring system that may retrospectively analyze cached backfill data and update a current alert state and associated conditions and/or settings on a display device after a signal loss event according to one or modes of operation.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Glucose measurement and glucose-impacting event prediction using a stack of machine learning models is described. A CGM platform includes stacked machine learning models, such that an output generated by one of the machine learning models can be provided as input to another one of the machine learning models. The multiple machine learning models include at least one model trained to generate a glucose measurement prediction and another model trained to generate an event prediction, for an upcoming time interval. Each of the stacked machine learning models is configured to generate its respective output when provided as input at least one of glucose measurements provided by a CGM system worn by the user or additional data describing user behavior or other aspects that impact a person's glucose in the future. Predictions may then be output, such as via communication and/or display of a notification about the corresponding prediction.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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 40/60 - 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
• G16H 40/63 - 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 local operation
• H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

IPC Classes  ?

• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G06F 9/54 - Interprogram communication
• G06F 16/22 - IndexingData structures thereforStorage structures
• G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
• G06F 21/60 - Protecting data
• G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
• G08B 25/08 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
• 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 20/17 - 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 delivered via infusion or injection
• G16H 40/63 - 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 local operation
• H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• H04L 9/08 - Key distribution
• H04L 9/14 - Arrangements for secret or secure communicationsNetwork security protocols using a plurality of keys or algorithms
• H04L 9/30 - Public key, i.e. encryption algorithm being computationally infeasible to invert and users' encryption keys not requiring secrecy
• H04L 9/40 - Network security protocols
• H04M 1/72409 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
• H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
• H04W 12/084 - Access security using delegated authorisation, e.g. open authorisation [OAuth] protocol

Abstract

The present disclosure provides systems, methods, and devices for recovery and/or adjustment of an alert state of a continuous analyte monitoring system following signal loss events associated with wireless connections between an analyte sensor system and a display device. Certain embodiments of the present disclosure describe a continuous analyte monitoring system that may retrospectively analyze cached backfill data and update a current alert state and associated conditions and/or settings on a display device after a signal loss event according to one or modes of operation.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Goods & Services

Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users.

Abstract

Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are provided. The data can be displayed on a hand-held display device having a display such as a key fob device including a user interface, such as an LCD and one or more buttons allows a user to view data, and a physical connector, such as USB port.

IPC Classes  ?

• H04W 52/02 - Power saving arrangements
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G16H 40/63 - 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 local operation
• 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
• G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
• 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
• H04L 67/62 - Establishing a time schedule for servicing the requests
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/06 - Authentication
• H04W 76/10 - Connection setup
• H04W 76/14 - Direct-mode setup
• H04W 76/25 - Maintenance of established connections
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks

Abstract

Aspects of the present disclosure provide an analyte sensor system. The analyte sensor system may include an analyte sensor configured to measure analyte levels of the user, a stamp antenna configured to transmit data indicative of the measured analyte levels, a printed circuit board (PCB) that operatively connects the analyte sensor to the stamp antenna, and a housing that encases at least the stamp antenna, the PCB, and a first portion of the analyte sensor. The housing may have a bottom portion through which a second portion of the analyte sensor protrudes to an exterior of the housing of the analyte sensor system. The bottom portion of the housing may be configured to be attached to a body of the user. The stamp antenna may be disposed on a bottom side of the PCB facing the bottom portion of the housing.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Certain aspects of the present disclosure provide a monitoring system comprising one or more memories comprising executable instructions and one or more processors in data communication with the one or more memories and configured to execute the executable instructions to calculate a first reabsorption threshold based on glucose measurements and 1,5-AG measurements of a patient over a first period of time and calculate a second reabsorption threshold based on the glucose measurements and the 1,5-AG measurements of the patient over a second period of time. The one or more processors are further configured to detect a change of the second reabsorption threshold relative to the first reabsorption threshold; determine whether the change of the second reabsorption threshold relative to the first reabsorption threshold is an increase or a decrease; and provide therapy management guidance to the patient based on the increase or the decrease.

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 5/20 - Measuring urological functions
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Goods & Services

Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users.

Abstract

Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

IPC Classes  ?

• G01N 27/327 - Biochemical electrodes
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes

Abstract

Aspects of the present disclosure provide an analyte sensor system. The analyte sensor system may include an analyte sensor configured to measure analyte levels of the user, a stamp antenna configured to transmit data indicative of the measured analyte levels, a printed circuit board (PCB) that operatively connects the analyte sensor to the stamp antenna, and a housing that encases at least the stamp antenna, the PCB, and a first portion of the analyte sensor. The housing may have a bottom portion through which a second portion of the analyte sensor protrudes to an exterior of the housing of the analyte sensor system. The bottom portion of the housing may be configured to be attached to a body of the user. The stamp antenna may be disposed on a bottom side of the PCB facing the bottom portion of the housing.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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
• H01Q 7/00 - Loop antennas with a substantially uniform current distribution around the loop and having a directional radiation pattern in a plane perpendicular to the plane of the loop
• H05K 1/02 - Printed circuits Details

Abstract

Systems, devices, and methods are disclosed for wireless communication of analyte data. One such method includes, during a first interval, establishing a first connection between an analyte sensor system and a display device. During the first connection, the method includes exchanging information related to authentication between the analyte sensor system and the display device. The method includes making a determination regarding whether authentication was performed during the first interval. During a second interval, the method may include establishing a second connection between the analyte sensor system and the display device for transmission of an encrypted analyte value, and bypassing the exchanging of information related to authentication performed during the first connection. The method also includes, during the second interval, the analyte sensor system transmitting the encrypted analyte value to the display device, if the determination indicates that the authentication was performed during the first interval.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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 20/17 - 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 delivered via infusion or injection
• G16H 40/63 - 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 local operation
• 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
• H04B 17/23 - Indication means, e.g. displays, alarms or audible means
• H04B 17/318 - Received signal strength
• H04L 9/40 - Network security protocols
• 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
• H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
• H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/04 - Key management, e.g. using generic bootstrapping architecture [GBA]
• H04W 12/06 - Authentication
• H04W 12/069 - Authentication using certificates or pre-shared keys
• H04W 72/0446 - Resources in time domain, e.g. slots or frames
• H04W 72/542 - Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
• H04W 74/04 - Scheduled access
• H04W 76/10 - Connection setup
• H04W 76/25 - Maintenance of established connections
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks

Abstract

Disclosed are devices for determining an analyte concentration (e.g., glucose). The devices comprise a sensor configured to generate a signal associated with a concentration of an analyte and a sensing membrane located over the sensor. The sensing membrane comprises an enzyme layer, wherein the enzyme layer comprises an enzyme and a polymer comprising polyurethane and/or polyurea segments and one or more zwitterionic repeating units. The enzyme layer protects the enzyme and prevents it from leaching from the sensing membrane into a host or deactivating.

IPC Classes  ?

• G01N 27/327 - Biochemical electrodes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61K 31/045 - Hydroxy compounds, e.g. alcoholsSalts thereof, e.g. alcoholates
• A61K 31/137 - Arylalkylamines, e.g. amphetamine, epinephrine, salbutamol, ephedrine
• A61K 31/46 - 8-Azabicyclo [3.2.1] octaneDerivatives thereof, e.g. atropine, cocaine
• A61K 31/465 - NicotineDerivatives thereof
• A61K 31/485 - Morphinan derivatives, e.g. morphine, codeine
• A61K 31/515 - Barbituric acidsDerivatives thereof, e.g. sodium pentobarbital
• A61K 31/56 - Compounds containing cyclopenta[a]hydrophenanthrene ring systemsDerivatives thereof, e.g. steroids
• A61K 33/00 - Medicinal preparations containing inorganic active ingredients
• A61K 36/185 - Magnoliopsida (dicotyledons)
• A61K 38/28 - Insulins
• C08L 39/06 - Homopolymers or copolymers of N-vinyl-pyrrolidones
• C08L 69/00 - Compositions of polycarbonatesCompositions of derivatives of polycarbonates
• C08L 75/04 - Polyurethanes
• C12N 11/08 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer
• C12N 11/089 - Enzymes or microbial cells immobilised on or in an organic carrier the carrier being a synthetic polymer obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds
• C12N 11/093 - Polyurethanes
• C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
• G01N 27/40 - Semi-permeable membranes or partitions
• G01N 33/66 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving blood sugars, e.g. galactose

Abstract

Certain aspects of the present disclosure provide a monitoring system comprising a continuous analyte sensor configured to penetrate a skin of a patient and generate a sensor current indicative of analyte levels of the patient, and a sensor electronics module coupled to the continuous analyte sensor. The sensor electronics module comprises an analog to digital converter configured to receive the sensor current and convert the sensor current generated by the continuous analyte sensor into digital signals, a processor configured to convert the digital signals to a set of analyte measurements indicative of the analyte levels of the patient, and a Bluetooth antenna configured to transmit the set of analyte measurements wirelessly to a wireless communications device using Bluetooth or BLE communications protocols.

IPC Classes  ?

• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/20 - Measuring urological functions

Abstract

Some examples herein provide a wearable device for sensing a concentration of an analyte and delivering a therapeutic agent. A sensor is configured to extend fully through stratum corneum, epidermis, and dermis and partially into subcutaneous tissue, and includes a distal end configured to be located within the subcutaneous tissue. A reservoir is configured to contact the stratum corneum and includes a polymer complexed with the drug. Control electronics coupled to the sensor's proximal end of the sensor include first and second electrodes, and are configured to receive a signal from the sensor's distal end corresponding to the concentration of the analyte within the subcutaneous tissue. Control electronics determine, using the signal, electrical stimulus to be applied to a first electrode and a second electrode, and apply that electrical stimulus to deliver the therapeutic agent across the stratum corneum.

IPC Classes  ?

• A61N 1/32 - Applying electric currents by contact electrodes alternating or intermittent currents
• A61N 1/04 - Electrodes
• A61N 1/30 - Apparatus for iontophoresis or cataphoresis
• A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers

Abstract

The present embodiments relate generally to systems and methods for measuring an analyte in a host. More particularly, the present embodiments provide sensor applicators and methods of use with activation that implant the sensor, withdraw the insertion needle, engage the transmitter with the housing, and disengage the applicator from the housing. Systems and methods according to present principles allow for such steps to occur without significant loss of spring force, and without deleterious effects such as seal slingshotting.

IPC Classes  ?

• A61B 17/34 - TrocarsPuncturing needles
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 17/00 - Surgical instruments, devices or methods

Abstract

Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.

IPC Classes  ?

• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/15 - Devices for taking samples of blood
• A61B 5/155 - Devices for taking samples of blood specially adapted for continuous or multiple sampling, e.g. at predetermined intervals
• A61B 5/157 - Devices for taking samples of blood characterised by integrated means for measuring characteristics of blood
• A61M 5/14 - Infusion devices, e.g. infusing by gravityBlood infusionAccessories therefor
• A61M 5/142 - Pressure infusion, e.g. using pumps
• A61M 5/168 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters
• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
• G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
• G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
• G01N 27/327 - Biochemical electrodes
• G01N 33/49 - Physical analysis of biological material of liquid biological material blood
• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• G16H 20/17 - 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 delivered via infusion or injection
• 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 40/63 - 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 local operation

Abstract

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes receiving a sensor signal from an analyte sensor. A plurality of risk factors associated with end of life symptoms of analyte sensors is evaluated. The risk factors include a downward drift in sensor sensitivity over time, an amount of non-symmetrical, nonstationary noise and a duration of noise. An end of life status of the analyte sensor is determined based at least in part on the evaluating. An output related to the end of life status of the analyte sensor is provided.

IPC Classes  ?

• G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
• G01N 33/49 - Physical analysis of biological material of liquid biological material blood

Abstract

An analyte sensor system is provided. The system includes a base configured to attach to a skin of a host. The base includes an analyte sensor configured to generate a sensor signal indicative of an analyte concentration level of the host, a battery, and a first plurality of contacts. The system includes a sensor electronics module configured to releasably couple to the base. The sensor electronics module includes a second plurality of contacts, each configured to make electrical contact with a respective one of the first plurality of contacts, and a wireless transceiver configured to transmit a wireless signal based at least in part on the sensor signal. The system includes a first sealing member configured to provide a seal around the first and second plurality of contacts within a first cavity. Related analyte sensor systems, analyte sensor base assemblies and methods are also provided.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/1495 - Calibrating or testing in vivo probes
• H01M 50/543 - Terminals
• H04W 12/06 - Authentication
• H04W 52/02 - Power saving arrangements

Abstract

Certain aspects of the present disclosure provide a monitoring system comprising one or more memories comprising executable instructions and one or more processors in data communication with the one or more memories and configured to execute the executable instructions to calculate a gastric emptying rate of a patient based on glucose measurements and lactate measurements and determine whether the gastric emptying rate of the patient is decreasing. The one or more processors are further configured to determine, if the gastric emptying rate of the patient is decreasing, whether the gastric emptying rate of the patient meets a first threshold, or whether a reduction in the gastric emptying rate over a defined period of time meets a second threshold, provide therapy management action to the patient based on the gastric emptying rate of the patient to optimize the gastric emptying rate of the patient, and recalculate, following the therapy management action, the gastric emptying rate of the patient based on the glucose measurements and the lactate measurements.

IPC Classes  ?

• 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
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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

Abstract

Certain aspects of the present disclosure provide a monitoring system comprising a continuous analyte sensor configured to penetrate a skin of a patient and generate a sensor current indicative of analyte levels of the patient, and a sensor electronics module coupled to the continuous analyte sensor. The sensor electronics module comprises an analog to digital converter configured to receive the sensor current and convert the sensor current generated by the continuous analyte sensor into digital signals, one or more processors configured to convert the digital signals to a set of analyte measurements indicative of the analyte levels of the patient, and a Bluetooth antenna configured to transmit the set of analyte measurements wirelessly to a wireless communications device using Bluetooth or BLE communications protocols.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• 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

Abstract

Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

IPC Classes  ?

• G06T 11/20 - Drawing from basic elements, e.g. lines or circles
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• 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 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 20/17 - 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 delivered via infusion or injection
• G16H 40/63 - 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 local operation

Abstract

Glucose prediction using machine learning (ML) and time series glucose measurements is described. Given the number of people that wear glucose monitoring devices and because some wearable glucose monitoring devices can produce measurements continuously, a platform providing such devices may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process and covers a robust number of state spaces unlikely to be covered without the enormous amount of data. In implementations, a glucose monitoring platform includes an ML model trained using historical time series glucose measurements of a user population. The ML model predicts upcoming glucose measurements for a particular user by receiving a time series of glucose measurements up to a time and determining the upcoming glucose measurements of the particular user for an interval subsequent to the time based on patterns learned from the historical time series glucose measurements.

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 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• G06F 17/18 - Complex mathematical operations for evaluating statistical data
• G06N 3/02 - Neural networks
• G06N 3/044 - Recurrent networks, e.g. Hopfield networks
• G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
• G06N 3/08 - Learning methods
• G16H 40/63 - 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 local 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
• 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

Abstract

Systems, methods, apparatuses, and devices, for the wireless communication of analyte data are provided. In some embodiments, a method and calibration station for calibrating a continuous analyte sensor system is provided. Methods and testing systems for testing a continuous analyte sensor system is provided. Continuous analyte sensor systems, display devices and peripheral devices configured for wireless communication of analyte, connection, alarm and/or alert data and associated methods are provided.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• H04L 9/40 - Network security protocols
• H04L 67/141 - Setup of application sessions
• H04W 48/10 - Access restriction or access information delivery, e.g. discovery data delivery using broadcasted information
• H04W 76/10 - Connection setup
• H04W 76/14 - Direct-mode setup
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks

Abstract

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

IPC Classes  ?

• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/15 - Devices for taking samples of blood
• A61B 5/155 - Devices for taking samples of blood specially adapted for continuous or multiple sampling, e.g. at predetermined intervals
• A61B 5/157 - Devices for taking samples of blood characterised by integrated means for measuring characteristics of blood
• A61M 5/14 - Infusion devices, e.g. infusing by gravityBlood infusionAccessories therefor
• A61M 5/142 - Pressure infusion, e.g. using pumps
• A61M 5/168 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters
• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
• G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
• G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
• G01N 27/327 - Biochemical electrodes
• G01N 33/49 - Physical analysis of biological material of liquid biological material blood
• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• G16H 20/17 - 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 delivered via infusion or injection
• 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 40/63 - 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 local operation

Abstract

Various examples described herein are directed to systems, apparatuses, and methods for mitigating break-in in an analyte sensor. An example analyte sensor system comprises an analyte sensor applicator comprising a needle; an analyte sensor comprising at least a working electrode and a reference electrode, the analyte sensor positioned at least partially within a lumen of the needle; and a hydrating agent positioned within the lumen of the needle to at least partially hydrate the needle.

IPC Classes  ?

• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• G01N 27/02 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
• G01N 27/22 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance
• G01N 27/24 - Investigating the presence of flaws
• G01N 33/487 - Physical analysis of biological material of liquid biological material

Abstract

A mathematical model of type 1 diabetes (T1D) patient decision-making can be used to simulate, in silico, realistic glucose/insulin dynamics, for several days, in a variety of subjects who take therapeutic actions (e.g. insulin dosing) driven by either self-monitoring blood glucose (SMBG) or continuous glucose monitoring (CGM). The decision-making (DM) model can simulate real-life situations and everyday patient behaviors. Accurate submodels of SMBG and CGM measurement errors are incorporated in the comprehensive DM model. The DM model accounts for common errors the patients are used to doing in their diabetes management, such as miscalculations of meal carbohydrate content, early/delayed insulin administrations and missed insulin boluses. The DM model can be used to assess in silico if/when CGM can safely substitute SMBG in T1D management, to develop and test guidelines for CGM driven insulin dosing, to optimize and individualize off-line insulin therapies and to develop and test decision support systems.

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
• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• G16H 20/17 - 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 delivered via infusion or injection
• 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
• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Goods & Services

(1) Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users.

Goods & Services

(1) Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users.

Abstract

Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are disclosed. In an embodiment, a method for transmitting data between a first communication device associated with an analyte sensor and a second communication device configured to provide user access to sensor-related information comprises: activating a transceiver of a first communication device associated with an analyte sensor at a first time; and establishing a two-way communication channel with the second communication device; wherein the activating comprises waking the transceiver from a low power sleep mode using a forced wakeup from the second communication device.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/1495 - Calibrating or testing in vivo probes
• G01N 27/327 - Biochemical electrodes
• H04B 5/20 - Near-field transmission systems, e.g. inductive or capacitive transmission systems characterised by the transmission techniqueNear-field transmission systems, e.g. inductive or capacitive transmission systems characterised by the transmission medium
• H04B 5/48 - Transceivers
• H04B 5/73 - Near-field transmission systems, e.g. inductive or capacitive transmission systems specially adapted for specific purposes for taking measurements, e.g. using sensing coils
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/06 - Authentication
• H04W 52/02 - Power saving arrangements
• H04W 76/14 - Direct-mode setup

Goods & Services

Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users

Goods & Services

Downloadable computer software for analyzing glucose data obtained from medical sensors implanted or inserted into the human body, generating insulin dosage recommendations and related alerts, and providing clinical decision support to users

Goods & Services

Computer software and hardware for use in the acquisition, capture, processing, presentation, storage, and transmission of medical and physiological data. Medical devices, namely, medical sensors that are implanted or inserted into the human body used to continuously monitor the concentration of glucose in the human body and accessories therefor, namely, receivers, sensor housings and sensor insertion devices.

Abstract

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

IPC Classes  ?

• G16H 20/17 - 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 delivered via infusion or injection
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/024 - Measuring pulse rate or heart rate
• A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• A61M 5/172 - Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters electrical or electronic
• G06N 5/043 - Distributed expert systemsBlackboards
• G06N 20/00 - Machine learning
• G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
• G16H 40/63 - 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 local operation
• 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
• H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces

Abstract

The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06F 3/0481 - 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
• G06F 3/04842 - Selection of displayed objects or displayed text elements
• G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
• G06F 3/04883 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures for inputting data by handwriting, e.g. gesture or text
• G06T 7/70 - Determining position or orientation of objects or cameras
• 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 40/63 - 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 local operation
• 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
• H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

Abstract

The present disclosure is related to a sensing device. The sensing device includes a sensor, a memory, a processor, and two radio units. A first radio unit of the two radio units is configured for bidirectional communication with an external device using a first radio communication protocol. The bidirectional communication comprises receiving configuration data from the external device via a first radio signal from the external device. The second radio unit of the two radio units is configured for unidirectional communication with the external device using a second radio communication protocol. The unidirectional communication comprises the second radio unit transmitting a second radio signal to the external device. The second radio signal communicates data including one or more measurements obtained by the sensor.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• H04B 5/72 - Near-field transmission systems, e.g. inductive or capacitive transmission systems specially adapted for specific purposes for local intradevice communication
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/02 - Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
• H04W 12/04 - Key management, e.g. using generic bootstrapping architecture [GBA]
• H04W 48/10 - Access restriction or access information delivery, e.g. discovery data delivery using broadcasted information

Abstract

Devices are provided for measurement of an analyte concentration, e.g., glucose in a host. The device can include a sensor configured to generate a signal associated with a concentration of an analyte; and a sensing membrane located over the sensor. The sensing membrane comprises a diffusion resistance domain configured to control a flux of the analyte therethrough. The diffusion resistance domain comprises one or more zwitterionic compounds and a base polymer comprising both hydrophilic and hydrophobic regions.

IPC Classes  ?

• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

IPC Classes  ?

• H04L 51/214 - Monitoring or handling of messages using selective forwarding
• G06Q 30/0201 - Market modellingMarket analysisCollecting market data
• G06Q 30/0251 - Targeted advertisements

Abstract

Techniques and protocols for facilitating wired or wireless secure communications between a sensor system and one or more other devices deployed in healthcare facilities are disclosed. In certain embodiments, the techniques and protocols include secure device pairing techniques and protocols for achieving heightened security, for example, recommended in healthcare facilities. In certain embodiments, a method comprises executing, at an application layer of a sensor system, a password authenticated key exchange (PAKE) protocol with a display device to derive an authentication key; executing, at the sensor system, an authenticated pairing protocol with the display device; after the authenticating is successful, establishing an encrypted connection between the sensor system and the display device; and transmitting, from the sensor system to the display device, analyte data indicative of measured analyte levels via the encrypted connection.

IPC Classes  ?

• H04W 12/069 - Authentication using certificates or pre-shared keys
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
• H04L 9/08 - Key distribution
• H04W 12/03 - Protecting confidentiality, e.g. by encryption

Abstract

Polymers with analyte diffusion resistance and interferent blocking functionality and improved layer uniformity for analyte monitoring are described. Methods of synthesizing such polymers, methods of providing analyte diffusion and interferent blocking and analyte monitoring systems comprising such polymers are provided.

IPC Classes  ?

• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• C09D 175/04 - Polyurethanes

Abstract

Polymers with analyte diffusion resistance and interferent blocking functionality and improved layer uniformity for analyte monitoring are described. Methods of synthesizing such polymers, methods of providing analyte diffusion and interferent blocking and analyte monitoring systems comprising such polymers are provided.

IPC Classes  ?

• C08G 18/42 - Polycondensates having carboxylic or carbonic ester groups in the main chain
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• C08G 18/44 - Polycarbonates
• C08G 18/48 - Polyethers
• C08G 18/72 - Polyisocyanates or polyisothiocyanates
• C09D 175/04 - Polyurethanes
• C09D 175/06 - Polyurethanes from polyesters
• C09D 175/08 - Polyurethanes from polyethers
• C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
• C08G 18/63 - Block or graft polymers obtained by polymerising compounds having carbon-to-carbon double bonds on to polymers

Abstract

A continuous analyte monitoring system includes analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller is coupled to the analyte sensors and configured evaluate first samples of outputs of a first analyte sensor and second samples of outputs of a second analyte sensor to determine whether the first samples and the second samples indicate compression of the tissue. The controller compensates for the compression of the tissue with respect to the first samples. A force sensor may be used and may be positioned between a circuit board and a housing, the circuit board supported by supports providing preloading of the force sensor. A force deflector may be used to direct loads away from tissue holding the analyte sensors. A housing may have a flexible lower surface to reduce loading of the tissue.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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

In certain embodiments, a continuous analyte monitoring system is provided. The continuous analyte system includes one or more continuous analyte sensors configured to generate one or more sensor signals indicative of one or more analyte levels, and at least one sensor electronics module. The at least one sensor electronics module includes an analog to digital converter configured to receive the sensor signal and convert the sensor current into digital signals. The continuous analyte monitoring system further includes a wireless transceiver configured to transmit the digital signals to a wireless communications device, one or more memories comprising executable instructions, and one or more processors. The one or more processors are configured to execute the executable instructions to convert the digital signals to a set of estimated analyte measurements indicative of the true analyte levels of the user, and generate therapy management guidance based on the estimated analyte measurements.

IPC Classes  ?

• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/20 - Measuring urological functions
• 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

Abstract

Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide bodies overmolded upon at least a portion of an elongate sensor. The bodies may comprise sensor modules for mechanical and/or electrical connection with other structures, which may comprise sensor electronics or testing apparatuses for the elongate sensor.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

In certain embodiments, a continuous analyte monitoring system is provided. The continuous analyte system includes one or more continuous analyte sensors configured to generate one or more sensor signals indicative of one or more analyte levels, and at least one sensor electronics module. The at least one sensor electronics module includes an analog to digital converter configured to receive the sensor signal and convert the sensor current into digital signals. The continuous analyte monitoring system further includes a wireless transceiver configured to transmit the digital signalsto a wireless communications device, one or more memories comprising executable instructions, and one or more processors. The one or more processors are configured to execute the executable instructions to convert the digital signals to a set of estimated analyte measurements indicative of the true analyte levels of the user, and generate therapy management guidance based on the estimated analyte measurements.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1495 - Calibrating or testing in vivo probes
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/20 - Measuring urological functions

Abstract

Implementations relate generally to devices for measuring an analyte in a host. Implementations may provide bodies overmolded upon at least a portion of an elongate sensor. The bodies may comprise sensor modules for mechanical and/or electrical connection with other structures, which may comprise sensor electronics or testing apparatuses for the elongate sensor.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

A continuous analyte monitoring system includes analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller is coupled to the analyte sensors and configured evaluate first samples of outputs of a first analyte sensor and second samples of outputs of a second analyte sensor to determine whether the first samples and the second samples indicate compression of the tissue. The controller compensates for the compression of the tissue with respect to the first samples. A force sensor may be used and may be positioned between a circuit board and a housing, the circuit board supported by supports providing preloading of the force sensor. A force deflector may be used to direct loads away from tissue holding the analyte sensors. A housing may have a flexible lower surface to reduce loading of the tissue.

IPC Classes  ?

• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value

Abstract

In some aspects, a method of dynamically handling substance interference includes detecting an administration of a substance to a user of an analyte sensor system. The method also includes identifying the substance as an interferent with the analyte sensor system based on information related to the administration of the substance. The method also includes, responsive to the identifying, generating an interference effect of the substance on the analyte sensor system based on the information related to the administration of the substance. The method also includes determining an interference response based on the interference effect. The method also includes executing the interference response in relation to the analyte sensor system.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• 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

Abstract

Analyte sensors and methods of manufacturing same are provided, including analyte sensors comprising multi-axis flexibility. For example, a multi-electrode sensor system 800 comprising two working electrodes and at least one reference/counter electrode is provided. The sensor system 800 comprises first and second elongated bodies E1, E2, each formed of a conductive core or of a core with a conductive layer deposited thereon, insulating layer 810 that separates the conductive layer 820 from the elongated body, a membrane layer deposited on top of the elongated bodies E1, E2, and working electrodes 802′, 802″ formed by removing portions of the conductive layer 820 and the insulating layer 810, thereby exposing electroactive surface of the elongated bodies E1, E2.

IPC Classes  ?

• A61B 5/1473 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means invasive, e.g. introduced into the body by a catheter
• A61B 5/145 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value
• A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
• B05C 3/02 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material
• B05C 3/10 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating separate articles the articles being moved through the liquid or other fluent material
• B05C 3/12 - Apparatus in which the work is brought into contact with a bulk quantity of liquid or other fluent material the work being immersed in the liquid or other fluent material for treating work of indefinite length
• B05C 5/02 - Apparatus in which liquid or other fluent material is projected, poured or allowed to flow on to the surface of the work from an outlet device in contact, or almost in contact, with the work
• B05D 1/18 - Processes for applying liquids or other fluent materials performed by dipping
• B05D 3/06 - Pretreatment of surfaces to which liquids or other fluent materials are to be appliedAfter-treatment of applied coatings, e.g. intermediate treating of an applied coating preparatory to subsequent applications of liquids or other fluent materials by exposure to radiation
• B23K 26/08 - Devices involving relative movement between laser beam and workpiece
• B23K 26/362 - Laser etching
• C23C 2/00 - Hot-dipping or immersion processes for applying the coating material in the molten state without affecting the shapeApparatus therefor