Investigation of automated sleep stages classification using single channel EEG

Abstract

The purpose of this study is to examine the accuracy of sleep scores with a single channel EEG signal between two trained technicians and, our developed automatic scoring. Polysomnography (PSG) is the gold standard for sleep assessment in medical and sleep scientific fields. Recently, it is expected a small number of the EEG signal can estimate accurate sleep scores for screening. In the next stage of sleep study, quantitative evaluation of the accuracy for sleep scoring should be verified for reduction between the technicians or automatic scoring. The single EEG channel (C4-A1) from each PSG data set of ten young male subjects were scored. Our results shows the corresponding ratio 83.1% between the technicians and the automatic algorithm has almost near the accuracy are presented. The fact supports that single EEG channel recording may have the sufficient ability to estimate sleep scores for screening sleep assessment.