One embodiment includes a medical system including electrodes configured for application to a body of a subject and configured to output signals in response to electrical activity of a heart of the subject, a display, and a processor configured to store a set of templates corresponding to different types of arrhythmia of the heart, apply the templates to the signals so as to associate one or more different temporal sections of the signals with respective ones of the types of arrhythmia, and render to the display a user interface screen including at least a part of the signals and graphical identifiers identifying the different temporal sections of at least the part of the signals with the respective ones of the types of arrhythmia with which they are associated.

A computer-implemented method for processing ECG data may include: receiving, over an electronic network, ECG data, wherein the ECG data represents a plurality of heartbeats; analyzing the ECG data, by at least one processor, to determine whether each of the plurality of heartbeats is a normal heartbeat or an abnormal heartbeat; associating, by the at least one processor, each of the abnormal heartbeats with either only one of a plurality of existing templates or a new template; receiving, from a user, input related to each new template, wherein the input includes either: a) a confirmation that the new template represents an abnormal heartbeat, or b) a reclassification of the new template as representing a normal heartbeat or a different abnormal heartbeat; and in response to the user input, updating, by the at least one processor, a label of each of the heartbeats associated with each confirmed new template and each of the heartbeats associated with each reclassified new template. The ECG data may be received from a portable monitor configured to be carried on a patient's body.

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.

An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.

A self-inflating personal flotation device (SIPFD) configured to be wom by a wearer and aid the wearer automatically. The SIPFD may communicate with a global communication network and pressurized gas cartridge assembly based on a triggering event. The SIPFD may have a wearable data transmitter of a heartbeat device; a water depth device; and a geolocation device. The SIPFD may have a neck inflation device and a torso inflation device both connected to the pressurized gas cartridge assembly to enable the pressurized gas cartridge to inflate the neck and torso inflation devices when prompted. The prompt may be automatic or on request and be performed using an actuator mechanically communicating with the pressurized gas cartridge assembly to: (i) inflate the neck and torso inflation devices; and (ii) deflate the neck and torso inflation devices associated with a wearer.

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

A computer implemented method and system for declaring arrhythmias in cardiac activity are provided. The method and system are under control of one or more processors that are configured with specific executable instructions. The method and system obtain far field cardiac activity (CA) signals for a series of beats and builds an N-dimensional data set from data values for features of interest from the CA signals. The method and system utilize a manifold structure to map the N-dimensional data set, through nonlinear dimensional reduction, onto an M-dimensional data set and declares an atrial fibrillation (AFL) episode based on a relation between the M-dimensional data set and one or more AFL classification criteria.

A medical device and medical device system for delivering left ventricular pacing that includes a subcutaneous sensing device having a subcutaneous electrode to sense a subcutaneous cardiac signal and an emitting device to emit a trigger signal in response to the sensed cardiac signal, an intracardiac therapy delivery device to deliver the left ventricular pacing in response to the emitted trigger signal, and a processor configured to determine whether the medical device system is in one of a VVD pacing mode and a VVI pacing mode, determine whether the delivered left ventricular pacing captures the left ventricle, determine whether to adjust a pacing parameter in response to the determination of whether the device system is in one of a VVD pacing mode and a VVI pacing mode and the determination of whether the delivered left ventricular pacing captures the left ventricle, and deliver the left ventricular pacing in response to determining whether to adjust the pacing parameter.

An apparatus includes a cardiac signal sensing circuit configured to generate a sensed cardiac signal representative of electrical cardiac activity of a subject, a buffer memory and a pause detection circuit. The pause detection circuit is configured to: identify ventricular depolarization in the cardiac signal or the sampled cardiac signal; detect a candidate pause episode using the cardiac signal in which delay in ventricular depolarization exceeds a specified delay threshold; identify noise events in a stored cardiac signal; and discard the cardiac signal of the candidate pause episode when a number of noise events satisfies a specified noise event number threshold, otherwise store the cardiac signal of the candidate pause episode as a bradycardia pause episode.

Apparatuses and methods for extracting, de-noising, and analyzing electrocardiogram signals. Any of the apparatuses described herein may be implemented as a (or as part of a) computerized system. For example, described herein are apparatuses and methods of using them or performing the methods, for extracting and/or de-noising ECG signals from a starting signal. Also described herein are apparatuses and methods for analyzing an ECG signal, for example, to generate one or more indicators or markers of cardiac fitness, including in particular indicators of atrial fibrillation. Described herein are apparatuses and method for determining if a patient is experiencing a cardiac event, such as an arrhythmia.