One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Artificial intelligence methods are utilized in biological signal processing to locate and
extract interesting data. The examination of ECG signal characteristics is crucial for the …

Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …

While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …

Effective monitoring of heart patients according to heart signals can save a huge amount of
life. In the last decade, the classification and prediction of heart diseases according to ECG …

Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …

Obstructive sleep apnea (OSA) is a highly prevalent condition, resulting in recurrent hypoxic
events, sleep arousal, and daytime sleepiness. Patients with OSA are at an increased risk of …

Electrocardiograms (ECGs) are widely used to detect cardiovascular disease (CVD). Deep
learning is a topic of interest in healthcare, in which timely detection of ECG anomalies can …

The aim of this study was to address chronic heart failure (HF) diagnosis with the application
of machine learning (ML) approaches. In the present study, we simulated the procedure that …

The rapid increase of the aged population and challenges towards taking health care and
social care become the key point for the industry and researchers nowadays. Heart diseases …