An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

The invention relates to the system and method of remote ECG monitoring, remote disease screening, and early-warning system based on wavelet analysis. The system includes a wireless ECG signal acquisition device, a mobile terminal, and a cloud storage platform. The wireless ECG signal acquisition device worn on the user's chest is used to collect ECG signals anywhere and anytime. The method includes transmitting the ECG signals to the mobile terminal using the wavelet analysis algorithm, analyzing and processing the received ECG signal, and uploading the processed ECG signals to the cloud storage platform. The cloud storage platform stores users' personal information and ECG signals. According to the ECG features detection with support vector machine learning algorithm for heart diseases diagnosis and features classification, the system gives feedback report and proposal, and transmits them to the mobile terminal.

An adjustable ECG sensor is attachable to a patient to sense cardiac signals and includes an adjustable leadwire having a flexible substrate, a conductor extending along the flexible substrate, and a connector end connectable to a receiver associated with an ECG monitor. The adjustable ECG sensor further includes an electrode having an electrode pad, a clip connected to the electrode pad and attachable to any one of multiple locations on the adjustable leadwire, and a pin that punctures the flexible substrate and electrically connects to the conductor of the adjustable leadwire. The adjustable ECG sensor is fitted to the patient by attaching the clip of the electrode to one of the multiple locations on the adjustable leadwire.

provided is an automotive key device connected, in the form of a holder, to a mechanism of opening or shutting an automotive door or merged with the mechanism of opening or shutting the automotive door. The automotive key device includes an electrocardiogram (ECG) sensor having a first body signal electrode and a second body signal electrode and a contact terminal electrically connected to the ECG sensor. The contact terminal is configured to serve as a passage for electrical connection with devices within a vehicle. A steering wheel docking station and a system configured to include the steering wheel docking station and the automotive key device are also provided.

An occupant support system includes a vehicle seat and an electronics system for the vehicle seat. The electronics system includes a sensor system configured to obtain sensor data and a computer coupled to the sensor system to process the sensor data and perform a predetermined action using the sensor data.

A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.

A system and method providing outpatient ECG monitoring and safe home based cardiac tele-rehabilitation. The system includes a recordation module for recording ECG signals using at least one lead, a tele-rehabilitation module for home based exercise management for a patient's recovery, the tele-rehabilitation module including a processing module for recognizing erroneous data from the ECG signals and an analysis module for calculating beat-to-beat annotations and determining if an ECG event and/or if a QT interval duration change has occurred. The system can include an exercise module for guiding the patient during an exercise session, a visual display that informs the patient to start and/or to stop the tele-rehabilitation exercise, a visual display and/or audible signal that informs the patient of an incoming or a missed tele-rehabilitation exercise session, and/or a communication module for transmitting/receiving data between the a cardiac tele-rehabilitation module and a physician/monitoring center.

Described herein are methods, apparatuses, and systems for heart monitoring of a patient. The heart monitoring system can be used to take an electrocardiogram (ECG) using only two electrodes. A handheld device can be used to sequentially measure the electrical signal between different positions on a patient's body. The electrical signals can be processed and analyzed to prepare an ECG for the patient, including a 12-lead ECG.

A device for measuring and recording body functions can include a first patch and a second patch. The first patch be applied to a user and include an electrocardiogram (“EKG”) sensor and a first communication circuit. The EKG sensor can be for recording electrical activity data of a heart of the user. The first communication circuit can be communicatively coupled to the EKG sensors for transmitting the electrical activity data. The second patch can be communicatively coupled to the first patch and include a processing device and a second communication circuit. The processing device can be for performing an analysis of the electrical activity data. The second communication circuit can be communicatively coupled to the first communication circuit for receiving the electrical activity data and communicatively coupled to the processing device for transmitting the analysis to a second device.

There is a method and system for detecting heartbeat irregularities comprising the steps of receiving a dataset representative of at least one waveform, the at least one waveform indicative of a subject's heart activity over a predetermined period of time; identifying from the data representative of at least one waveform, a plurality of peaks, each peak corresponding to a heartbeat; identifying from the predetermined period of time the time occurrence of each peak; calculating the difference (duration) between the time occurrence of each peak with its adjacent peak; determining the difference between each duration; classifying the absolute value of the difference into one of at least three intermediate categories; wherein each intermediate category comprises a specified range such that the absolute value is categorized into the intermediate category if it falls between the range; the intermediate categories further providing an indication of whether the subject has heartbeat irregularity.