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dc.contributor.authorKhandoker, AH
dc.contributor.authorKarmakar, CK
dc.contributor.authorPalaniswami, M
dc.date.available2014-05-22T08:08:02Z
dc.date.issued2008-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000262404502165&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationKhandoker, A. H., Karmakar, C. K. & Palaniswami, M. (2008). Analysis of coherence between sleep EEG and ECG signals during and after obstructive sleep apnea events. 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, pp.3876-3879. IEEE. https://doi.org/10.1109/IEMBS.2008.4650056.
dc.identifier.isbn978-1-4244-1814-5
dc.identifier.issn1557-170X
dc.identifier.urihttp://hdl.handle.net/11343/33138
dc.descriptionF1 - Full Written Papers Refereed
dc.description.abstractThis study presents the first successful preliminary attempt to directly investigate the interactions of power spectra of sleep EEG and ECG signals of patients with obstructive sleep apnea syndrome (OSAS) by coherence analysis. ECG and EEG signals were collected from 8 OSAS patients and 3 healthy subjects. Coherence between two signals over different frequency bands(0-128 Hz) were calculated for normal breathing events, obstructive sleep apnea (OSA) events and events following OSA terminations (with/without arousals) in non-REM as well as REM sleep. Overall coherence of ECG and EEG in REM sleep is higher than that in non-REM sleep. A significant (p=0.0164) difference of coherence in the range of 10-5 Hz was found among normal, OSA and termination events in REM sleep. The results could be useful in detecting OSA events or OSA related arousals to characterize sleep fragmentation from ECG and EEG signals.
dc.formatapplication/pdf
dc.languageEnglish
dc.publisherIEEE
dc.source30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society
dc.subjectBiomedical Engineering not elsewhere classified; Pattern Recognition and Data Mining; Rehabilitation Engineering; Biomedical Engineering not elsewhere classified; Pattern Recognition; Rehabilitation Engineering ; Medical Instrumentation; Computer Equipment; Medical Instruments; Computer and Electronic Office Equipment
dc.titleAnalysis of coherence between sleep EEG and ECG signals during and after obstructive sleep apnea events
dc.typeConference Paper
dc.identifier.doi10.1109/IEMBS.2008.4650056
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentElectrical And Electronic Engineering
melbourne.source.titleConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
melbourne.source.volume2008
melbourne.source.pages3876-3879
melbourne.identifier.arcLP0454378
melbourne.publicationid101247
melbourne.elementsid301183
melbourne.contributor.authorKHANDOKER, AHSAN
melbourne.contributor.authorPalaniswami, Marimuthu
melbourne.contributor.authorKarmakar, Chandan
dc.identifier.eissn2694-0604
melbourne.identifier.fundernameidAustralian Research Council, LP0454378
melbourne.event.locationVancouver, CANADA
melbourne.accessrightsThis item is currently not available from this repository


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