Musa Hakan AsyaliRichard Barnett BerryMichael C.K. KhooAyşe Asyali AltinokKhoo, Michael C.K.Asyali, Musa H.Berry, Richard B.Altinok, Ayse2025-10-06200718790534, 001048250010-48251879-053410.1016/j.compbiomed.2007.03.0012-s2.0-34548380899https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548380899&doi=10.1016%2Fj.compbiomed.2007.03.001&partnerID=40&md5=ae956d25e50c38a56bf58157c7587c27https://gcris.yasar.edu.tr/handle/123456789/10368https://doi.org/10.1016/j.compbiomed.2007.03.001Detection 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. © 2007. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Englishinfo:eu-repo/semantics/closedAccessCortical Arousals, Depth Of Sleep, Power Spectral Density Analysis, Receiver Operating Characteristics, Sleep Staging, Electroencephalography, Natural Frequencies, Signal Analysis, Sleep Research, Spectrum Analysis, Cortical Arousals, Power Spectral Density Analysis, Receiver Operating Characteristics, Sleep Staging, Biomarkers, Adult, Article, Brain Depth Stimulation, Controlled Study, Electroencephalogram, Human, Human Experiment, Nonrem Sleep, Priority Journal, Quantitative Analysis, Receiver Operating Characteristic, Sleep, Adult, Arousal, Data Interpretation Statistical, Humans, Middle Aged, Roc Curve, Signal Processing Computer-assisted, Sleep, Sleep Apnea Obstructive, Sleep StagesElectroencephalography, Natural frequencies, Signal analysis, Sleep research, Spectrum analysis, Cortical arousals, Power spectral density analysis, Receiver operating characteristics, Sleep staging, Biomarkers, adult, article, brain depth stimulation, controlled study, electroencephalogram, human, human experiment, nonREM sleep, priority journal, quantitative analysis, receiver operating characteristic, sleep, Adult, Arousal, Data Interpretation Statistical, Humans, Middle Aged, ROC Curve, Signal Processing Computer-Assisted, Sleep, Sleep Apnea Obstructive, Sleep StagesPower Spectral Density AnalysisDepth of SleepReceiver Operating CharacteristicsSleep StagingCortical ArousalsArticle