Musa H. AsyaliRichard B. BerryMichael C. K. KhooAyse Altinok2025-10-0620070010-482510.1016/j.compbiomed.2007.03.001http://dx.doi.org/10.1016/j.compbiomed.2007.03.001https://gcris.yasar.edu.tr/handle/123456789/7895Detection and quantification of sleep arousals is an important issue as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging electroencephalograph (EEG) is the core signal and based on the visual inspection of the frequency content of EEG. non-rapid eye movement sleep is staged into four somewhat rough categories. In this study we aimed at developing a continuous marker based on a more rigorous spectral analysis of EEG to measure or quantify the depth of sleep. In order to develop such a marker we obtained the time-frequency map of two EEG channels around sleep arousals and identified the frequency bands that show the most change during arousals. We then evaluated classification performance of the potential signals for representing the depth of sleep using receiver operating characteristic analysis. Our comparisons based on the area under the curve values revealed that the sum of absolute powers in alpha and beta bands is a good continuous marker to represent the depth of sleep. Higher values of this marker indicate low-quality sleep and vice versa. We believe that use of this marker will lead to a better quantification of sleep quality. (C) 2007 Published by Elsevier Ltd.Englishcortical arousals, sleep staging, depth of sleep, power spectral density analysis, receiver operating characteristicsArticle