With the rapidly increasing number of patients with chronic disease, numerous recent
studies have put great efforts into achieving long-term health monitoring and patient …

Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …

Recently, much effort has been put into solving arrhythmia classification problems with
machine learning-based methods. However, inter-heartbeat dependencies have been …

Cardiovascular disease is a major illness that causes human death, especially in the elderly.
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …

Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …

Twin support vector regression (TSVR) is a useful extension of traditional support vector
regression (SVR). As a new regression model, the basic idea of TSVR is generating a pair of …

Objective: Deep learning (DL) techniques have been introduced to assist doctors in the
interpretation of medical images by detecting image-derived phenotype abnormality. Yet the …

In this numerical study, two-dimensional simulations are performed to obtain the
bioconvection flow in a quadrant heater located porous closed space saturated with nano …

This paper presents a resource-saving system to extract a few important features of
electrocardiogram (ECG) signals. In addition, real-time classifiers are proposed as well to …

According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …