The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-
of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning …

The automatic classification of electrocardiograms (ECGs) plays a crucial role in the early
diagnosis of cardiovascular diseases. In recent research, deep neural network (DNN)-based …

The electrocardiogram (ECG) is an exceptionally well-known technique that has been
utilized as an essential methodology of finding of cardiovascular conduction issues, by …

Heart arrhythmia is a condition in which the heartbeat of a person becomes irregular. It is
rooted in a variety of causes, including changes in heart muscle, electrolyte imbalance, and …

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-
of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning …

Machine learning algorithms have been contributing immensely in the biomedical sector
with the innovation of several automatic and semi-automatic diagnostic devices. They are …

Improvements in wearable sensor devices make it possible to constantly monitor
physiological parameters such as electrocardiograph (ECG) signals for long periods …

It can be argued that there is no greater goal in science than the one that leads to the
betterment of human health-care and health in general. At the beginning of our lives, most of …