Examining the Relevance with Sleep Stages of Time Domain Features of EEG, EOG, and Chin EMG signals

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dc.contributor.authorGunes, Salih
dc.contributor.authorPolat, Kemal
dc.contributor.authorDursun, Mehmet
dc.contributor.authorYosunkaya, Sebnem
dc.date.accessioned2020-03-26T17:38:39Z
dc.date.available2020-03-26T17:38:39Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description14th National Biomedical Engineering Meeting -- MAY 20-22, 2009 -- Izmir, TURKEYen_US
dc.description.abstractSleep staging has an important role in determining sleep disorders such as sleepiness, human fatigue etc. Sleep staging is generally done according to Rechtschaffen and Kales standard (RKS) using EEG signal obtained from PSG signals taken from patient subjects who come with any sleep disorders. Sleep stages are generally divided into three stages including awake, REM and N-REM (stage 1, stage 2, and stage 3). In this study, time domain features of EEG, EOG of right and left eyes, and chin EMG signals belonging to sleep stages were investigated and correlation between these time domain features and sleep stages was calculated. The used time domain features are mean value, standard deviation, peak value, skewness, kurtosis, and shape factor belonging to EEG, EOG of right and left eyes, and chin EMG signals. In experimental studies, PSG recordings of 3 subjects were taken and average recording time of 6.22 h, total recording time was 18.67 h. When investigated correlation coefficients, it is seen that skewness feature in time domain features of EEG signal, standard deviation feature in time domain features of EOG signals belonging to right and left eyes, and mean value feature in time domain features of chin EMG signal were more correlated with sleep stages than other features. Consequently, a feature vector can be constituted combining features determined from time domain features of EEG, EOG belonging to right and left eyes, and chin EMG signals. This obtained feature vector can be easily used in distinguishing sleep stages.en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-1-4244-3605-7
dc.identifier.startpage29en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23537
dc.identifier.wosWOS:000274345400008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartofBIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETINGen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleExamining the Relevance with Sleep Stages of Time Domain Features of EEG, EOG, and Chin EMG signalsen_US
dc.typeConference Objecten_US

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