Determining a continuous marker for sleep depth

dc.contributor.author Musa Hakan Asyali
dc.contributor.author Richard Barnett Berry
dc.contributor.author Michael C.K. Khoo
dc.contributor.author Ayşe Asyali Altinok
dc.contributor.author Khoo, Michael C.K.
dc.contributor.author Asyali, Musa H.
dc.contributor.author Berry, Richard B.
dc.contributor.author Altinok, Ayse
dc.date.accessioned 2025-10-06T17:53:20Z
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. © 2007. © 2008 Elsevier B.V. All rights reserved., MEDLINE® is the source for the MeSH terms of this document.
dc.identifier.doi 10.1016/j.compbiomed.2007.03.001
dc.identifier.issn 18790534, 00104825
dc.identifier.issn 0010-4825
dc.identifier.issn 1879-0534
dc.identifier.scopus 2-s2.0-34548380899
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548380899&doi=10.1016%2Fj.compbiomed.2007.03.001&partnerID=40&md5=ae956d25e50c38a56bf58157c7587c27
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/10368
dc.identifier.uri https://doi.org/10.1016/j.compbiomed.2007.03.001
dc.language.iso English
dc.publisher Pergamon-Elsevier Science Ltd
dc.relation.ispartof Computers in Biology and Medicine
dc.rights info:eu-repo/semantics/closedAccess
dc.source Computers in Biology and Medicine
dc.subject Cortical 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 Stages
dc.subject 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 Stages
dc.subject Power Spectral Density Analysis
dc.subject Depth of Sleep
dc.subject Receiver Operating Characteristics
dc.subject Sleep Staging
dc.subject Cortical Arousals
dc.title Determining a continuous marker for sleep depth
dc.type Article
dspace.entity.type Publication
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gdc.author.scopusid 20733361800
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gdc.description.department
gdc.description.departmenttemp Yasar Univ, Dept Comp Engn, TR-35500 Izmir, Turkey; Univ Florida, Dept Med, Gainesville, FL 32611 USA; Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA; Ulucanlar Eye Educ & Res Hosp, Dept Ophthalmol, TR-06100 Ankara, Turkey
gdc.description.endpage 1609
gdc.description.issue 11
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 1600
gdc.description.volume 37
gdc.description.woscitationindex Science Citation Index Expanded
gdc.identifier.openalex W2103868925
gdc.identifier.pmid 17434160
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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
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gdc.opencitations.count 28
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oaire.citation.endPage 1609
oaire.citation.startPage 1600
person.identifier.scopus-author-id Asyali- Musa Hakan (55948103700), Berry- Richard Barnett (7401995111), Khoo- Michael C.K. (7005078174), Altinok- Ayşe Asyali (20733361800)
publicationissue.issueNumber 11
publicationvolume.volumeNumber 37
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