A nonlinear model of newborn EEG with nonstationary inputs

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dc.contributor.authorStevenson, Nathan J.
dc.contributor.authorMesbah, Mostefa
dc.contributor.authorBoylan, Geraldine B.
dc.contributor.authorColditz, Paul B.
dc.contributor.authorBoashash, Boualem
dc.contributor.editorMcIntire, Larry V.
dc.date.accessioned2012-07-11T14:06:27Z
dc.date.available2012-07-11T14:06:27Z
dc.date.issued2010-09
dc.date.updated2012-07-11T10:34:33Z
dc.description.abstractNewborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated seizure detection. This paper describes a novel model of newborn EEG that can be used to improve seizure detection algorithms. The new model is based on a nonlinear dynamic system; the Duffing oscillator. The Duffing oscillator is driven by a nonstationary impulse train to simulate newborn EEG seizure and white Gaussian noise to simulate newborn EEG background. The use of a nonlinear dynamic system reduces the number of parameters required in the model and produces more realistic, life-like EEG compared with existing models. This model was shown to account for 54% of the linear variation in the time domain, for seizure, and 85% of the linear variation in the frequency domain, for background. This constitutes an improvement in combined performance of 6%, with a reduction from 48 to 4 model parameters, compared to an optimized implementation of the best performing existing model.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationStevenson, NJ; Mesbah, M; Boylan, GB; Colditz, PB; Boashash, B; (2010) 'A nonlinear model of newborn EEG with nonstationary inputs'. Annals of Biomedical Engineering, 38 (9):3010-3021. doi: 10.1007/s10439-010-0041-3en
dc.identifier.doi10.1007/s10439-010-0041-3
dc.identifier.endpage3021en
dc.identifier.issn0090-6964
dc.identifier.issn1573-9686
dc.identifier.issued9en
dc.identifier.journaltitleAnnals of Biomedical Engineeringen
dc.identifier.startpage3010en
dc.identifier.urihttps://hdl.handle.net/10468/629
dc.identifier.volume38en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.urihttp://www.springerlink.com/content/15862x28m57q4373/
dc.rights©2010, Biomedical Engineering Society. The original publication is available at www.springerlink.comen
dc.subjectNewbornen
dc.subjectNeonateen
dc.subjectEEGen
dc.subjectModelling and simulationen
dc.subjectNonlinearen
dc.subjectDuffing oscillatoren
dc.subjectNonstationaryen
dc.subjectSeizureen
dc.subjectElectroencephalogramen
dc.titleA nonlinear model of newborn EEG with nonstationary inputsen
dc.typeArticle (peer-reviewed)en
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