A decision support system for automated detection of sleep stages can alleviate the burden
of medical professionals of manually annotating a large bulk of data, expedite sleep disorder …

Objective Sleep stage scoring is essential for diagnosing sleep disorders. Visual scoring of
sleep stages is very time-consuming and prone to human errors. In this work, we introduce …

An automatic sleep scoring method based on single channel electroencephalogram (EEG)
is essential not only for alleviating the burden of the clinicians of analyzing a high volume of …

Over the past decade, converging evidence from diverse studies has demonstrated that
sleep is closely associated with the mental and physical health, quality of life, and safety …

Sleep stage screening based on visual inspection is burdensome, time-consuming,
subjective, and error-prone owing to the large bulk of data which have to be screened …

Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …

Background Automatic sleep scoring is essential owing to the fact that conventionally a large
volume of data have to be analyzed visually by the physicians which is onerous, time …

Sleep staging is an important part of diagnosing the different types of sleep-related disorders
because any discrepancies in the sleep scoring process may cause serious health problems …

Automatic identification of sleep stage is an important step in a sleep study. In this paper, we
propose a hybrid automatic sleep stage scoring approach, named HyCLASSS, based on …

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 …