Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in
elderly population, associated with a high mortality and morbidity in stroke, heart failure …

Objectives With the technological advancements in the field of tele-health monitoring, it is
now possible to gather huge amount of electro-physiological signals such as the …

Background Atrial fibrillation (AF) is the most common cardiac arrhythmia, and a major
public health burden associated with significant morbidity and mortality. Automatic detection …

Since stroke disease often causes death or serious disability, active primary prevention and
early detection of prognostic symptoms are very important. Stroke diseases can be divided …

Automated detection of atrial fibrillation (AF) from electrocardiogram (ECG) recordings
remains challenging in real clinical settings. Deep neural networks (DNN) emerge as a …

Atrial fibrillation (AF) is the most common type of cardiac arrhythmia and is characterized by
the heart's beating in an uncoordinated manner. In clinical studies, patients often do not …

Atrial fibrillation (AF) is the most common cardiac arrhythmias causing morbidity and
mortality. AF may appear as episodes of very short (ie, proximal AF) or sustained duration …

Background and objective Atrial fibrillation (AF) is the most common form of cardiac rhythm
disorder. Early detection of AF can result in a lower risk of stroke, heart failure, systemic …

In this study, we propose a P-wave absence (PWA) based method for atrial fibrillation (AF)
identification over a short duration of electrocardiogram (ECG). The algorithm constructs a …

Automatic detection of atrial fibrillation (AF) for AF diagnosis, especially for AF monitoring, is
necessarily desirable for clinical therapy. In this study, we proposed a novel method for …