Measurement of abnormal heartbeat rhythm of a fetus to detect arrhythmia using fetal-
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …

Heart failure (HF) is a serious condition in which the heart fails to supply the body with
enough oxygen and nutrients to function normally. Early and accurate detection of heart …

Parkinson's Disease (PD) is a matter of great concern when it comes to the health
management of elderly people. Tremors, muscle stiffness, change in cognitive abilities, and …

Context Epilepsy, characterized by recurrent seizures, is a chronic brain disease that affects
approximately 50 million. Recurrent seizures characterize it. A seizure, a burst of …

Abstract Machine learning technologies have been applied extensively in the last decade to
automatically detect and analyze various forms of arrhythmia from electrocardiogram (ECG) …

Background and objectives Cardiac arrhythmias are a significant cause of morbidity and
mortality in patients with cardiovascular disease. Accurate rhythm diagnosis is critical in …

Cardiac arrhythmia is caused due to the irregularity of the heartbeat and heart rhythm, which
increases the complications leading to the risk of heart strokes. Atrial fibrillation (AF) and …

In healthcare facilities, the most common and least expensive diagnostic tool for monitoring
electrical signals in the heart is the Electrocardiogram (ECG). Arrhythmia is nothing but …

Sudden cardiac arrest (SCA) is a critical cardiovascular condition that needs greater
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …

An electrocardiogram (ECG) is an essential medical tool for analyzing the functioning of the
heart. An arrhythmia is a deviation in the shape of the ECG signal from the normal sinus …