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 medical characterization system is configured to input medical-related continuous parameters and discrete data so as to calculate a characterization timeline indicative of a physiological condition of a living being. A data source is in sensor communications with a patient so as to generate a continuous parameter. The data source also provides test data responsive to the patient at a test time. The test data is available to a characterization processor at a result time. The characterization processor is also responsive to the continuous parameter so as to generate a medical characterization as a function of time. A characterization analyzer enables the characterization processor to update the medical characterization in view of the test data as of the test time.

An electrode assembly for making electrocardiogram measurements includes a substrate and at least two electrodes. The substrate includes at least one electronic item sealed therewithin and is laminated or otherwise constructed so as to facilitate removal of the electronic item from the substrate prior to disposal. The electronic item may therefore be re-used in the manufacture of new electrode assemblies.

The present disclosure provides systems and methods for generating an electrophysiological map of a geometric structure. The system includes a computer-based model construction system configured to acquire electrical information at a plurality of diagnostic landmark points, assign a color value, based on the acquired electrical information, to each of the diagnostic landmark points, create a first 3D texture region storing floats for a weighted physiological metric, create a second 3D texture region storing floats for a total weight, for each diagnostic landmark point, additively blend the color value of the diagnostic landmark point into voxels of the first 3D texture region that are within a predetermined distance, normalize the colored voxels using the second 3D texture region to generate a normalized 3D texture map, generate the electrophysiological map from the normalized 3D texture map and a surface of the geometric structure, and display the generated electrophysiological map.

The adhesive extenders can be used to cover and surround the medical electrode assemblies on the skin of a patient. A wearable monitor can be used to obtain electrogram data from the patient via the electrodes.

A data collection unit obtains physiological data from a subject interface on a subject. The subject interface can be connected to the data collection unit. When the subject interface is connected to the data collection unit, subject interface contacts on the subject interface make contact with data collection unit contacts on the data collection unit. Some of the data collection unit contacts are for communicating physiological data from the subject interface to the data collection unit. Some of the contacts are for powering the data collection unit upon the subject interface being connected to the data collection unit and for powering down the data collection unit upon the subject interface being disconnected from the data collection unit.

In some examples, an ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of the patient, one or more processors in communication with the at least one sensor, a patient care component executable by the one or more processors, and a limited functionality component executable by the one or more processors. The patient care component is configured to perform one or more primary operations of the ambulatory medical device at least in part by accessing the data descriptive of the patient. The limited functionality component is configured to exchange information with a communication device and to not affect the one or more primary operations of the ambulatory medical device.

A P-wave centric subcutaneous insertable cardiac monitor for use in performing long term electrocardiographic (ECG) monitoring is disclosed. An implantable housing made of a biocompatible material is provided. At least one pair of ECG sensing electrodes is provided on a ventral (or dorsal) surface and on opposite ends of the implantable housing operatively placed to facilitate sensing in closest proximity to the low amplitude, low frequency content cardiac action potentials that are generated during atrial activation. Electronic circuitry is provided within the housing assembly including a low power microcontroller operable to execute under modular micro program control as specified in firmware, an ECG front end circuit interfaced to the microcontroller and configured to capture the cardiac action potentials sensed by the pair of ECG sensing electrodes which are output as ECG signals, and non-volatile memory electrically interfaced with the microcontroller and operable to continuously store samples of the ECG signals.

The present disclosure relates to a wearable monitor device and methods and systems for using such a device. In certain embodiments, the wearable monitor records cardiac data from a mammal and extracts particular features of interest. These features are then transmitted and used to provide health-related information about the mammal.

A wearable device capable of recognizing doze-off stage including a processor and an electrocardiogram sensor is provided. The processor trains a neural network module. The processor is coupled to the electrocardiogram sensor. The electrocardiogram sensor is configured to generate an electrocardiogram signal. The processor performs a heart rate variability analysis operation and a R-wave amplitude analysis operation to analyze a heart beat interval variation of the electrocardiogram signal, so as to generate a plurality of characteristic values. The processor utilizes the trained neural network module to perform a doze-off stage recognition operation according to the characteristic values, so as to obtain a doze-off stage recognition result. In addition, a recognition method is also provided.