Comparison of Some Spectral Analysis Methods in Detection of Sleep Spindles Using YSA

dc.contributor.authorOzsen, Seral
dc.contributor.authorDursun, Mehmet
dc.contributor.authorYosunkaya, Sebnem
dc.date.accessioned2020-03-26T19:01:32Z
dc.date.available2020-03-26T19:01:32Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractSleep spindle is a very determinant factor for detection of Non-REM2 stage in sleep staging studies. When it is considered that about half of the sleep consists of Non-REM2 stage, the importance of automatic sleep spindle detection stands out. In this study, three different spectral analysis method- FFT, Welch and AR have been used to estimate the frequency spectrum of sleep EEG signal and feature extraction from this spectrum has been realized. Obtained features have been used in ANN to classify EEG epochs as epochs with spindle and epochs without spindle. It has been observed that least classification error was obtained with FFT as 15.16%.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univen_US
dc.identifier.endpage639en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608en_US
dc.identifier.startpage636en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31957
dc.identifier.wosWOS:000380500900137en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSleep spindle classificationen_US
dc.subjectfften_US
dc.subjectwelchen_US
dc.subjectYule-ARen_US
dc.subjectANNen_US
dc.titleComparison of Some Spectral Analysis Methods in Detection of Sleep Spindles Using YSAen_US
dc.typeConference Objecten_US

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