Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …

The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …

The quick diagnosis of the novel coronavirus (COVID-19) disease is vital to prevent its
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …

Based on a convolutional neural network (CNN) approach, this article proposes an
improved ResNet‐18 model for heartbeat classification of electrocardiogram (ECG) signals …

Assistive robotic systems could be a suitable solution to support a variety of health and care
services, help independent living, and even simulate affection, to reduce loneliness …

Abstract Machine learning algorithms involving feature engineering as their key steps play
important roles in AI tasks. Both feature selection and extraction have their pros and cons …

The purpose of this paper is to propose a framework for cybersecurity risk management in
telemedicine. The framework, which uses a bow-tie approach for medical image diagnosis …

The increasing prevalence of cognitive disorders among the elderly is a significant
consequence of the global aging phenomenon. Wandering stands out as the most …

Featured Application This work makes possible to extract heart rate variability components
online in order to monitor the underlying human body systems, in particular to determine the …

Historical measurements are usually used to build assimilation models in sequential data
assimilation (S-DA) systems. However, they are always disturbed by local noises …