A system and method for accelerating confirmation of cardiac arrhythmias is provided. The system includes memory to store specific executable instructions. One or more processors are configured to execute the specific executable instructions for obtaining a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats. The CA data set includes a first CA data subset and a remainder CA data subset. The system analyzes the CA data set for an arrhythmia of interest utilizing a primary detection process having primary criteria. During a first phase of the primary detection process the system analyzes the first CA data subset to determine whether the first CA data subset satisfies at least a portion of the primary criteria. When the first CA data subset satisfies at least the portion of the primary criteria, the system initiates a secondary confirmation process. Parallel and contemporaneous in time the system i) analyzes the first CA data subset utilizing secondary criteria associated with the secondary confirmation process and ii) analyzes the remainder CA data subset utilizing the primary criteria. The system declares the CA data set to exhibit an arrhythmia episode when the first CA data subset satisfies the secondary criteria and the remainder CA data subset satisfies a remainder of the primary criteria.

The invention is directed to methods for diagnosing reperfusion/non-reperfusion hemorrhage and predicting cardiac arrhythmias and sudden cardiac death in subjects comprising using imaging techniques to detect regional iron oxide deposition. The invention also provides treatment methods for subject at increased risk of sudden cardiac death.

A computation apparatus, a cardiac arrhythmia assessment method thereof and a non-transitory computer-readable recording medium are provided. In the method, electrocardiography (ECG) signal is obtained. Whether the ECG signal is conformed to a first abnormal rhythm symptom is determined. Then, whether the ECG signal is conformed to a second abnormal rhythm symptom different from the first abnormal rhythm symptom is determined based on the determined result of the first abnormal rhythm symptom. Accordingly, multiple abnormal rhythm assessments are integrated, the subsequent assessment is speeded-up and optimized according to the determined result of a previous assessment, so as to enable to implement on a handheld apparatus.

This disclosure provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof. The method may include receiving statistical setting information including a time range, a time interval, a classification rule, and a target parameter, and the classification rule may define one or more types of the target parameter; obtaining N group of target parameter result corresponding to N time interval from a result of historical physiological parameter, where the N time interval is included in the time range, and the N group of target parameter result may be a physiological parameter result corresponding to the target parameter in the result of historical physiological parameter; counting the number of each type of the target parameter in the N group of target parameter result according to the classification rule, and obtaining N group of statistical result corresponding to the N time interval for each target parameter

A medical device senses cardiac electrical signals including T-waves attendant to ventricular myocardial repolarizations and detects a T-wave template condition associated with non-pathological changes in T-wave morphology. The device generates a T-wave template from T-waves sensed by the sensing circuit during the T-wave template condition. After generating the T-wave template, the device acquires a T-wave signal from the cardiac electrical signal and compares the acquired T-wave signal to the T-wave template. The device detects a pathological event in response to the acquired T-wave signal not matching the T-wave template.

Disclosed is a method for computerizing delineation and/or multi-label classification of an ECG signal, including: applying a neural network to the ECG, labelling the ECG, and optionally displaying the labels according to time with the ECG signal.

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 IMD system receives a near field His bundle electrical signal produced by a patient's heart via a first sensing electrode vector and a far field cardiac electrical signal via a second sensing electrode vector different than the first sensing electrode vector. The IMD system generates His bundle pacing pulses delivered to the patient's heart via a His pacing electrode vector and determines a type of cardiac capture evoked by a His bundle pacing pulse.

The invention relates to a non-invasive system for determining the maturation of a baby, which comprises a module for sampling a cardiac or electroencephalographic signal from a baby and advantageously performs a conversion of a plurality of temporal samples derived from the cardiac signal or from the electroencephalic signal into a visibility graph, then a determination of at least one index on the basis of this visibility graph, a comparison of at least one determined index with one or more statistical indices representative of the maturation of a plurality of babies and a visual representation of a distance between at least one determined index and the statistical indices.

Implantable medical device systems and methods configured to use a detection profile selected from among a plurality of detection profiles to define a detection threshold for identifying cardiac events, in which a close call definition is used to determine which of the plurality of detection profiles is to be chosen. Upon identifying a close call, in which an overdetection nearly occurred but did not actually take place, a relatively less sensitive detection profile is chosen.