The automatic sleep stage classification technique can facilitate the diagnosis of sleep
disorders and release the medical expert from labor-consumption work. In this paper, novel …

The classification of sleep stages is the process which helps to evaluate the quality of sleep
and detect the sleep related disorders. Through analyzing the electroencephalography, the …

Abstract Stage 1 (S1) and REM sleep are the two key stages in EEG-based sleep stage
classification, which are of great significance to the study of neurocognitive ability and sleep …

The classification of sleep stages is an important process. However, this process is time-
consuming, subjective, and error-prone. Many automated classification methods use …

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 classification, including wakefulness (W), rapid eye movement (REM), and non-
rapid eye movement (NREM) which includes three sleep stages that describe the depth of …

Sleep staging is an important step in analyzing sleep quality. Traditional manual analysis by
psychologists is time-consuming. In this paper, we propose an automatic sleep staging …

In this study, the Electrocardiogram (ECG) and Electroencephalogram (EEG) data recorded
during day time short nap were analyzed. The ultimate purpose is to find out effective ECG …

Sleep disorder is a symptom of many neurological diseases that may significantly affect the
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …

Sleep staging is one of the most important parts of sleep assessment and it has an important
role in early diagnosis and intervention of sleep disorders. Manual sleep staging requires a …