Determining a continuous marker for sleep depth
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Date
2007
Authors
Musa Hakan Asyali
Richard Barnett Berry
Michael C.K. Khoo
Ayşe Asyali Altinok
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier Science Ltd
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
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, 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, Power Spectral Density Analysis, Depth of Sleep, Receiver Operating Characteristics, Sleep Staging, Cortical Arousals, Adult, Sleep Apnea, Obstructive, ROC Curve, Data Interpretation, Statistical, Humans, Electroencephalography, Signal Processing, Computer-Assisted, Sleep Stages, Middle Aged, Arousal, Sleep
Fields of Science
03 medical and health sciences, 0302 clinical medicine
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
28
Source
Computers in Biology and Medicine
Volume
37
Issue
11
Start Page
1600
End Page
1609
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Citations
CrossRef : 18
Scopus : 35
PubMed : 6
Patent Family : 1
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Mendeley Readers : 50
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