The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …

Over the last few years, human activity recognition (HAR) has drawn increasing interest from
the scientific community. This attention is mainly attributable to the proliferation of wearable …

The past few years have witnessed a remarkable advance in deep learning for EEG-based
sleep stage classification (SSC). However, the success of these models is attributed to …

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 …

Automatic sleep stage classification plays an essential role in sleep quality measurement
and sleep disorder diagnosis. Although many approaches have been developed, most use …

In the field of brain–computer interface (BCI), brain decoding using electroencephalography
(EEG) is an essential direction, and motion imagery EEG-based BCI can not only help …

Electroencephalography (EEG) is often used to evaluate several types of neurological brain
disorders because of its noninvasive and high temporal resolution. In contrast to …

Sleep staging is a standard diagnostic method for evaluating sleep quality, which would
enable early diagnosis of sleep disorders as well as mental diseases. Polysomnography …

Accurate sleep staging evaluates the quality of sleep, supporting the clinical diagnosis and
intervention of sleep disorders and related diseases. Although previous attempts to classify …

Background Ankylosing spondylitis (AS), Osteoarthritis (OA), and Sjögren's syndrome (SS)
are three prevalent autoimmune diseases. If left untreated, which can lead to severe joint …