An implantable medical device comprising a battery cell including: an anode; a cathode including fluorinated carbon particles; a separator between the anode and the cathode; and an electrolyte contacting the anode, the cathode, and the separator; wherein greater than 50 vol-% of the fluorinated carbon particles have a particle size within a range of 2 microns to 10 microns, and greater than 50% by number have an aspect ratio within a range of 1:1.2 to 1:8.

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.

Techniques for identifying onset of a cardiac event. Embodiments receive biometric data measured by at least one remote monitoring device, the biometric data comprising an electrocardiogram (ECG) data relating to a patient. It is determined that the ECG data includes a plurality of critical rhythms, and one of the plurality of critical rhythms is identified as an onset event. The ECG data is modified, based on the identified onset event. The modified ECG data facilitates treatment of the patient related to the identified onset event

An implantable medical device is configured to determine a first atrial arrhythmia score from ventricular events sensed by a sensing circuit of an implantable medical device and determine a second atrial arrhythmia score from an intraventricular signal comprising atrial mechanical event signals attendant to atrial systole and produced by a sensor of the implantable medical device. An atrial arrhythmia is detected based on the first atrial arrhythmia score and the second atrial arrhythmia score.

Implementations of a system for determining the relevancy of a plurality of alarms may include: a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data, a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, and wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data. The medical monitoring device may be further configured to issue a plurality of alarm states, and a processing unit coupled to the medical monitoring device through a telecommunication channel, is then configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user.

Disclosed are devices, a systems, and methods for determining the dipole densities on heart walls. In particular, a triangularization of the heart wall is performed in which the dipole density of each of multiple regions correlate to the potential measured at various locations within the associated chamber of the heart.

A hearing device includes: a first microphone configured to provide a first input signal; a first processor unit configured to provide a processed signal based on the first input signal to compensate for a hearing loss of a user of the first hearing device; a receiver configured to output sound based on the processed signal; and a first sensor configured to provide a first sensor signal for detecting an atrial fibrillation condition of the user. An electronic device includes: a communication interface configured to communicate with a hearing device; and a processing unit configured to obtain, via the communication interface, information associated with an atrial fibrillation condition of a user, the information comprising a sensor data transmitted from the hearing device and/or information indicating the atrial fibrillation condition detected based on the sensor data; wherein the accessory device is configured to output a signal indicative of the atrial fibrillation condition.

A defibrillator (AED) and method for using a defibrillator using two different ECG analysis algorithms which work sequentially to improve the accuracy of AED shock decisions. A first algorithm, such as (ART), is particularly suited for analysis in the presence of CPR periods. A second algorithm, such as (PAS), is particularly suited for analysis during hands-off periods. The AED switches algorithms depending on the period and on the current analysis of the cardiac rhythm. The inventions thus provide an optimized ECG analysis scheme in a manner that improves the effectiveness of the rescue, resulting in more CPR hands-on time, better treatment of refibrillation, and reduced transition times between CPR and electrotherapy.

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.

A system that executes a process for mapping cardiac fibrillation and optimizing ablation treatments. The process, in some embodiments, includes: positioning a two dimensional electrode array to several locations in a patient's heart and at each location, obtaining a conduction velocity and a cycle length measurement from at least two local signals in response to electrical activity in the cardiac tissue. In some embodiments, a regional wavelength is calculated by multiplying the local conduction velocity with the local minimum cycle length. The system can then create a wavelength distribution map that identifies the location of the drivers in the heart. In certain embodiments, the system uses variability of conduction velocity and cycle length in an area to determine the driver type. In some embodiments, the system calculates average distance of drivers to non-conductive tissue boundaries. The system then selects ablation placements that maximize treatment efficacy while minimizing tissue damage.