Show simple item record

dc.contributor.authorKarmakar, CK
dc.contributor.authorKhandoker, AH
dc.contributor.authorPalaniswami, M
dc.date.available2014-05-22T08:08:34Z
dc.date.issued2008-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000262404500272&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationKarmakar, C. K., Khandoker, A. H. & Palaniswami, M. (2008). Identification of onset, maximum and termination of obstructive sleep apnoea events in single lead ECG recordings. IEEE. Vancouver, CANADA.
dc.identifier.isbn978-1-4244-1814-5
dc.identifier.issn1557-170X
dc.identifier.urihttp://hdl.handle.net/11343/33141
dc.descriptionF1 - Full Written Papers Refereed
dc.description.abstractMeasuring the Apnoea Hypopnoea Index (AHI) is important for determining the severity of any apnoea patient. This study presents a method of screening each apnoea event separately based on the single lead Electrocardiogram (EGG) signal. The whole ECG of a subject was divided into Normal, Onset, OSA-maximum and Termination epochs with length of 5 seconds. PSD analysis was used for determining the features directly from the ECG. ROC area was calculated to determine the discrimination capability of each feature (or power in each frequency bin) found by PSD analysis. The maximum ROC area found between Normal vs. OSA-maximum was 0.81 in the frequency range of 52-72 Hz. The ROC area and significant frequency band for Normal vs. Onset and Normal vs. Termination were 0.78, 0.78 and 57-65 Hz, 52-66 Hz respectively.
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; Computer and Electronic Office Equipment; Medical Instruments
dc.titleIdentification of onset, maximum and termination of obstructive sleep apnoea events in single lead ECG recordings
dc.typeConference Paper
dc.identifier.doi10.1109/IEMBS.2008.4649345
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentElectrical And Electronic Engineering
melbourne.source.title2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8
melbourne.source.volume2008
melbourne.source.pages1072-1075
dc.research.codefor090399
dc.research.codefor080109
dc.research.codefor090305
dc.research.coderfcd291599
dc.research.coderfcd280207
dc.research.coderfcd291502
dc.research.codeseo1998671402
dc.research.codeseo1998671205
dc.research.codeseo2008861601
dc.research.codeseo2008861502
melbourne.publicationid101249
melbourne.elementsid301185
melbourne.contributor.authorKHANDOKER, AHSAN
melbourne.contributor.authorPalaniswami, Marimuthu
melbourne.contributor.authorKarmakar, Chandan
melbourne.conference.locationVancouver, CANADA
melbourne.accessrightsThis item is currently not available from this repository


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record