Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

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

In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

An electrocardiograph (ECG) is employed as a primary tool for diagnosing cardiovascular
diseases (CVDs). ECG signals provide a framework to probe the underlying properties and …

In this paper, novel convolutional neural network (CNN) and convolutional long short-term
(ConvLSTM) deep learning models (DLMs) are presented for automatic detection of …

Background and objective: Recent advances in deep learning have been applied to ECG
detection and obtained great success. The spatial and temporal information from ECG …

Atrial fibrillation (Afib) is a heart arrhythmia that is linked to a number of other cardiac-related
issues. The incidence of Afib increases with age, causing high risks of stroke. Accurate and …

Arrhythmia was one of the primary causes of morbidity and mortality among cardiac patients.
Early diagnosis was essential in providing intervention for patients suffering from cardiac …

Abstract World Health Organization (WHO) estimated cardiovascular diseases (CVDs) is
main contributor to the death count globally. In addition, there are shortcomings of …

The rise of Telemedicine has revolutionized how patients are being treated, leading to
several advantages such as enhanced health analysis tools, accessible remote healthcare …