Determining a continuous marker for sleep depth

dc.contributor.author Musa H. Asyali
dc.contributor.author Richard B. Berry
dc.contributor.author Michael C. K. Khoo
dc.contributor.author Ayse Altinok
dc.date NOV
dc.date.accessioned 2025-10-06T16:23:32Z
dc.date.issued 2007
dc.description.abstract Detection 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.
dc.identifier.doi 10.1016/j.compbiomed.2007.03.001
dc.identifier.issn 0010-4825
dc.identifier.uri http://dx.doi.org/10.1016/j.compbiomed.2007.03.001
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7895
dc.language.iso English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof Computers in Biology and Medicine
dc.source COMPUTERS IN BIOLOGY AND MEDICINE
dc.subject cortical arousals, sleep staging, depth of sleep, power spectral density analysis, receiver operating characteristics
dc.title Determining a continuous marker for sleep depth
dc.type Article
dspace.entity.type Publication
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 1609
gdc.description.startpage 1600
gdc.description.volume 37
gdc.identifier.openalex W2103868925
gdc.identifier.pmid 17434160
gdc.index.type WoS
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 4.4539177E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Adult
gdc.oaire.keywords Sleep Apnea, Obstructive
gdc.oaire.keywords ROC Curve
gdc.oaire.keywords Data Interpretation, Statistical
gdc.oaire.keywords Humans
gdc.oaire.keywords Electroencephalography
gdc.oaire.keywords Signal Processing, Computer-Assisted
gdc.oaire.keywords Sleep Stages
gdc.oaire.keywords Middle Aged
gdc.oaire.keywords Arousal
gdc.oaire.keywords Sleep
gdc.oaire.popularity 1.0341787E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
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gdc.opencitations.count 28
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oaire.citation.endPage 1609
oaire.citation.startPage 1600
publicationissue.issueNumber 11
publicationvolume.volumeNumber 37
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