Atrial Fibrillation Detection Using Feedforward Neural Networks and Automatically Extracted Signal Features

Abstract

Atrial Fibrillation (AF) is becoming an increasingly significant clinical matter as its prevalence keeps growing. Therefore, developing algorithms to accurately detect AF episodes from single-lead ECG recordings would benefit early and automatic diagnosis from monitoring devices.