Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.

A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. Cutaneous action potentials of a patient are recorded over a set period of time as ECG data and a difference between recording times of successive pairs of R-wave peaks are recorded as R-R intervals. A heart rate is associated with each time difference. An R-R interval plot of the ECG data is generated. A presence of a cardiac event is displayed by presenting a presence of sinus tachycardia or a presence of bradycardia via the R-R interval plot.

A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. Cutaneous action potentials of a patient are recorded over a set period of time as ECG data and a difference between recording times of successive pairs of R-wave peaks are recorded as R-R intervals. A heart rate is associated with each time difference. An R-R interval plot of the ECG data is generated. A presence of a cardiac event is displayed by presenting a presence of sinus tachycardia or a presence of bradycardia via the R-R interval plot.

A patient monitoring system for use in either a patch mode or a holster mode for monitoring physiological data of a patient includes a multi-mode sensor configured to continuously and/or intermittently acquire the physiological data from the patient in the least two modes and to transmit the acquired physiological data to a remote location and/or record the acquired physiological data in an internal memory, the physiological data including one or more of patient electrocardiogram (ECG) data, patient posture, patient movement, radio-frequency (RF) based physiological data, body temperature, and/or patient respiration; an attachment mechanism disposed on the multi-mode sensor, the attachment mechanism configured to removably connect the multi-mode sensor to either a holster and associated monitoring cables worn by the patient or a patch worn by the patient; at least one electrical contact disposed on the multi-mode sensor, the at least one electrical contact configured to engage a counterpart electrical contact of the holster and/or a counterpart electrical contact of the patch; and configuration circuitry disposed in the multi-mode sensor. The configuration circuitry is configured to determine when the multi-mode sensor is removably connected to the holster and cause the multi-mode sensor to acquire the physiological data in the holster mode when connected to the holster, and to determine when the multi-mode sensor is removably connected to the patch and cause the multi-mode sensor to acquire the physiological data in the patch mode when connected to the patch.

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.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

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 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.

A system and method for atrial fibrillation detection in non-noise ECG data with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns, the classifier implemented by a convolutional neural network. A representation of an ECG signal recorded by one or more ambulatory monitors is received. Noise is detected in the representations and ECG features in the representation falling within each of the non-noise temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined.