Characterization of sleep spindles using higher order statistics and spectra

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1009en_US
dc.citation.issueNumber8en_US
dc.citation.spage997en_US
dc.citation.volumeNumber47en_US
dc.contributor.authorAkgül, T.en_US
dc.contributor.authorSun, M.en_US
dc.contributor.authorSclabassi, R. J.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2015-07-28T12:07:04Z
dc.date.available2015-07-28T12:07:04Z
dc.date.issued2000-08en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThis work characterizes the dynamics of sleep spindles, observed in electroencephalogram (EEG) recorded from humans during sleep, using both time and frequency domain methods which depend on higher order statistics and spectra. The time domain method combines the use of second- and third-order correlations to reveal information on the stationarity of periodic spindle rhythms to detect transitions between multiple activities. The frequency domain method, based on normalized spectrum and bispectrum, describes frequency interactions associated with nonlinearities occuring in the observed EEG.en_US
dc.identifier.doi10.1109/10.855926en_US
dc.identifier.issn0018-9294
dc.identifier.urihttp://hdl.handle.net/11693/13582
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/10.855926en_US
dc.source.titleIEEE Transactions on Biomedical Engineeringen_US
dc.subjectBispectrumen_US
dc.subjectCumulantsen_US
dc.subjectEegen_US
dc.subjectHigher order spectraen_US
dc.subjectHigher order statisticsen_US
dc.subjectSleep spindlesen_US
dc.subjectSum-of-cumulantsen_US
dc.titleCharacterization of sleep spindles using higher order statistics and spectraen_US
dc.typeArticleen_US
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