Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …

The recent pandemic has refocused the medical world's attention on the diagnostic
techniques associated with cardiovascular disease. Heart rate provides a real-time snapshot …

One of the most common causes of death worldwide is heart disease, including arrhythmia.
Today, sciences such as artificial intelligence and medical statistics are looking for methods …

Continuous rhythm monitoring using wearable devices is a potential tool for early
identification of atrial fibril-lation (AF), the most frequent cardiac arrhythmia (with 0, 51 …

Ventricular arrhythmia (VA) detection plays an important role in preventing sudden cardiac
death, and is one of the most crucial components in current implantable cardioverter …

We have developed and present in this work a series of algorithms that display a long-
duration electrocardiogram (ECG) in a compact form of stacked beats, extracting and …

The fast growth of machine learning has brought us to a new era that characterizes two
primary trends: design automation and hardware optimization. During the past few years …

The Internet of Things (IoT) has been massively revolutionizing human lives for the last few
decades. The powerful and steady advancements in the field of science and technology …

Spiking neural networks are gaining prominence in recent years. They are regarded as third-
generation neural networks after Mc Culloch-Pitts perceptrons and deep neural networks …