System and method for monitoring and classifying atrial fibrillations

Abstract

A system and method of detecting and classifying atrial fibrillations (AFs) monitors an electro-cardiogram (ECG) signal of the patient. Based on the monitored ECG signals, AF episodes are detected (218). Monitored physiological parameters are utilized to determine an activity level (220)of the patient at the time of the detected AF episode, wherein the activity level is associated with the detected AF episode. The etiology of the detected AF episodes is classified as adrenergic if the AF episodes occur while the patient is active, and classified as vagal if the AF episodes occur while the patient is at rest.

Description

technical field [0001] The present disclosure relates generally to patient monitoring, and in particular to monitoring, detection and classification of atrial fibrillation (AF). Background technique [0002] Atrial fibrillation (AF) is a condition that causes the heart to beat irregularly and often rapidly, a condition sometimes called an arrhythmia. While AF itself is not a threat to a patient's health, it can be a symptom of an underlying problem. Differentiating between the different types of atrial fibrillation allows physicians to better diagnose and treat this underlying problem. [0003] Atrial fibrillation is detected by monitoring electrical signals associated with the patient, such as electrocardiogram signals. The ECG signal is monitored by attaching two or more leads to the patient and monitoring the electrical response. In some cases, a physician or clinician monitors ECG signals while having a patient perform a series of movements, such as walking on a tread...

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Problems solved by technology

However, this requires the patient to be in the physician's office and to have the arrhythmia during the prescribed exams or tests

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