Microsleeps are brief lapses in consciousness with complete suspension of performance.
They are the cause of fatal accidents in many transport sectors requiring sustained attention …

Sleep experts manually label sleep stages via polysomnography (PSG) to diagnose sleep
disorders. However, this process is time-consuming, requires a lot of labor from sleep …

Automated evaluation of a subject's neurocognitive performance (NCP) is a relevant topic in
neurological and clinical studies. NCP represents the mental/cognitive human capacity in …

When diagnosing and treating sleep disorders, the manual classification of sleep stages is a
time-consuming but crucial step, and the automation of this process has been a focus of …

Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …

This paper addresses the crucial task of automatic sleep stage classification to assist sleep
experts in diagnosing sleep disorders such as sleep apnea and insomnia. The proposed …

Majority of automatic sleep stage scoring studies rely on the use of feature engineering and
classical machine learning algorithms. Recently, several automatic sleep stage classification …

Body muscles and tissues repair themselves during a good night's sleep, with memory
consolidation also a process. This explains the importance of good and adequate sleep to …

Aiming at the problems of low efficiency and high misjudgment rate of sleep staging expert
discrimination method, a sleep staging prediction model is constructed by using machine …

In this paper, we propose a new automatic sleep stage classification method based on
convolutional neural networks (CNN) using single-channel electroencephalogram (EEG) …