Sleep is a key aspect of the body's recuperation, memory integration and consolidation
processes, as well as a vital part of overall health. Early discovery of sleep related disorders …

Sleep is closely related to physical and mental health and quality of life, and accurately
evaluating sleep quality remains a major research topic in related fields. Conventional …

Feature extraction from physiological signals of EEG (electroencephalogram) is an essential
part for sleep staging. In this study, multidomain feature extraction was investigated based …

The division of sleep into different stages using EEG signals is a commonplace practice in
sleep laboratories and an indispensable tool for clinicians and researchers. Despite the …

Sleep is a passive activity that has a major impact on our bodies. Sleep is also a
fundamental necessity in life. Given that in this day and age many changes have occurred …

This paper presents a CNN-GRU deep learning model for classifying sleep stages. The
Conventional sleep stage scoring method is a visual classification process, based on a set …

One of the common human diseases is sleep disorders. The classification of sleep stages
plays a fundamental role in diagnosing sleep disorders, monitoring treatment effectiveness …

The growing demand for semi-autonomous human–machine systems has led to an
increased requirement for human fatigue detection. Direct and invasive approaches for …

This paper presents a method for classification of microsleep (MS) from baseline utilizing
linear and non-linear features derived from electroencephalography (EEG), which is …

Sleep stage classification is a necessary step for diagnosing sleep disorders. Generally,
experts use traditional methods based on every 30 seconds (s) of the biological signals …