Detecting heart disease is challenging in clinical settings, leading to an increase in mortality
rates. Current detection processes often rely on Electrocardiography (ECG) signal analysis …

Depression is a common cause of increased suicides worldwide, and studies have shown
that the number of patients suffering from major depressive disorder (MDD) increased …

Increasingly prevalent sleep disorders worldwide significantly affect the well-being of
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …

Sleep staging has a very important role in diagnosing patients with sleep disorders. In
general, this task is very time-consuming for physicians to perform. Deep learning shows …

Alpha-1 antitrypsin deficiency associated liver disease (AATD-LD) is a rare genetic disorder
and not well-recognized. Predicting the clinical outcomes of AATD-LD and defining patients …

Over the last few decades, there has been a significant increase in the average lifespan.
Consequently, the number of elderly people suffering from strokes has also risen. As a …

Correctly classifying the sleep stages is essential for analyzing sleep quality and diagnosing
sleep disorders. This research article aims to explore the classification performance of state …

Accurate and rapid cardiac function assessment is critical for disease diagnosis and
treatment strategy. However, the current cardiac function assessment methods have their …

Sleep plays a vital role in human physiological behaviors. Sleep staging is a critical criterion
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …

Internal and external noise frequently contaminates surface electromyography (sEMG)
signals. These noises may impair the classifier's ability to recognize upper limb movements …