A process for measuring heart beats fiducial points and classifying heart beats includes sampling a raw ECG signal,—providing a first filtered signal,—providing a second filtered signal, detecting left and right limits data for the beats in said second filtered signal, and receiving the first filtered signal and receiving said left and right limits data, sampling and storing ECG curve data of beats from said first filtered signal synchronized by said left and right limits data and extracting fiducial points of said beats from said ECG curve data, said fiducial points including at least the QRS points values of the beats, and classifying each of said beats in classes based on a correlation of its ECG curve data with respect to average ECG curves data of classes of previously averaged classified beats.
A61B 5/364 - Detecting abnormal ECG interval, e.g. extrasystoles or ectopic heartbeats
A61B 5/366 - Detecting abnormal QRS complex, e.g. widening
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
Process for measuring heart beats fiducial points and classifying heart beats, comprising: - sampling (100a) a raw ECG signal (100) acquired with an ECG sensor (10) on a patient, - providing (130a) a first filtered signal (102) through removing the baseline wander from said sampled raw ECG signal with a baseline removal filter module (130), - providing (110a) a second filtered signal (101) through a bandpass filter module (110) comprising a bandpass filter and derivation, squaring and moving window integration submodules providing a filtered signal for a beat detection module (120) - detecting (120a) left and right limits data (125) for the beats in said second filtered signal within said beat detection module, - in a Fiducial point extraction module (150), receiving the first filtered signal (102) from the baseline filter removal module (130) and receiving said left and right limits data (125) from said beat detection module (120), sampling and storing (150a) ECG curve data of beats from said first filtered signal synchronized by said left and right limits data and extracting (150b) fiducial points of said beats from said ECG curve data (150), said fiducial points comprising at least the QRS points values of the beats, and classifying (160a) each of said beats in classes based on a correlation of its ECG curve data with respect to average ECG curves data of classes of previously averaged (600) classified beats.
A61B 5/352 - Detecting R peaks, e.g. for synchronising diagnostic apparatusEstimating R-R interval
A61B 5/364 - Detecting abnormal ECG interval, e.g. extrasystoles or ectopic heartbeats
A61B 5/366 - Detecting abnormal QRS complex, e.g. widening
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
Process for measuring heart beats fiducial points and classifying heart beats, comprising: - sampling (100a) a raw ECG signal (100) acquired with an ECG sensor (10) on a patient, - providing (130a) a first filtered signal (102) through removing the baseline wander from said sampled raw ECG signal with a baseline removal filter module (130), - providing (110a) a second filtered signal (101) through a bandpass filter module (110) comprising a bandpass filter and derivation, squaring and moving window integration submodules providing a filtered signal for a beat detection module (120) - detecting (120a) left and right limits data (125) for the beats in said second filtered signal within said beat detection module, - in a Fiducial point extraction module (150), receiving the first filtered signal (102) from the baseline filter removal module (130) and receiving said left and right limits data (125) from said beat detection module (120), sampling and storing (150a) ECG curve data of beats from said first filtered signal synchronized by said left and right limits data and extracting (150b) fiducial points of said beats from said ECG curve data (150), said fiducial points comprising at least the QRS points values of the beats, and classifying (160a) each of said beats in classes based on a correlation of its ECG curve data with respect to average ECG curves data of classes of previously averaged (600) classified beats.
A61B 5/352 - Detecting R peaks, e.g. for synchronising diagnostic apparatusEstimating R-R interval
A61B 5/364 - Detecting abnormal ECG interval, e.g. extrasystoles or ectopic heartbeats
A61B 5/366 - Detecting abnormal QRS complex, e.g. widening
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 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
The invention relates to an oximeter (100) comprising a ring (102) and an electronic module (401) attached to the ring (102), said electronic module (401) comprising at least one light-emitting diode (403) and a photoreceptor (405). The ring (102) includes a cavity (104) in which the electronic module (401) is housed and a ring band (106) to be slipped onto the finger of a patient, said band (106) being made from a flexible material. The band (106) includes two recesses (402a, 402b), each of which extends between the cavity (104) and a window (404a, 404b) provided on the inner surface of the band (106), wherein one (402a) of the recesses is intended to house the diode(s) (403) and the other recess (402b) is intended to house the photoreceptor (405). The window (404a) associated with the diode(s) (403) is arranged such that the diode(s) (403) emit light beams therethrough, and the window (404b) associated with the photoreceptor (405) is arranged such that the photoreceptor (405) receives the light beams emitted by the diode(s) (403) after said light beams have passed through the finger. The band (106) is split into two arcs (208a, 208b) and the free end of each arc (208a, 208b) is curved toward the inside of the ring band (106).
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
09 - Scientific and electric apparatus and instruments
10 - Medical apparatus and instruments
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Devices and apparatus for sensing, monitoring, recording and transmitting of signals and information; specialized adhesive bandages comprised of small sensors, thin batteries, and antennas; apparatus for receiving and processing signals and information; electric or electronic biosensors, chemical sensors and optical sensors for use in wireless monitoring of physiological parameters; base stations and mobile computing and operating platforms consisting of data transceivers, wireless networks and gateways for collection and management of physiological and medical data. Medical devices and apparatus; wireless sensors and communications platforms for continuous and remote monitoring of physiological parameters; medical diagnostic and sensing devices and apparatus; sensors for continuous monitoring and analysis of physiological parameters; medical devices and instruments incorporating wireless communication devices and sensors, biosensors, chemical sensors and optical sensors. Design and development for others of apparatus and devices for sensing, monitoring, recording, transmitting, receiving, and processing signals and information; design and development for others of wireless communication devices, biosensors, chemical sensors and electrical and optical sensors; analysis of scientific and physiological data from sensors, biosensors, chemical and optical sensors (except for treatment of individuals); information, consultancy and assistance relating to the analysis of scientific data (except for treatment of individuals); collection and management (study) of scientific data (except for treatment of individuals). Analysis of scientific and physiological data from sensors, biosensors, chemical and optical sensors (for treatment of individuals); information, consultancy and assistance relating to the analysis of scientific data (for treatment of individuals); collection and management (study) of scientific data (for treatment of individuals).
