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dc.contributor.authorCelka, Patricken_US
dc.contributor.authorLe, Khoaen_US
dc.contributor.authorCutmore, Timothyen_US
dc.date.accessioned2017-05-03T12:13:12Z
dc.date.available2017-05-03T12:13:12Z
dc.date.issued2008en_US
dc.date.modified2009-05-15T09:08:21Z
dc.identifier.issn00189294en_US
dc.identifier.doi10.1109/TBME.2008.919851en_AU
dc.identifier.urihttp://hdl.handle.net/10072/23336
dc.description.abstractA new noise reduction algorithm is presented for signals displaying repeated patterns or multiple trials. Each pattern is stored in a matrix, forming a set of events, which is termed multievent signal. Each event is considered as an affine transform of a basic template signal that allows for time scaling and shifting. Wavelet transforms, decimated and undecimated, are applied to each event. Noise reduction on the set of coefficients of the transformed events is applied using either wavelet denoising or principal component analysis (PCA) noise reduction methodologies. The method does not require any manual selection of coefficients. Nonstationary multievent synthetic signals are employed to demonstrate the performance of the method using normalized mean square error against classicalwavelet andPCAbased algorithms. The new method shows a significant improvement in low SNRs (typically <0 dB). On the experimental side, evoked potentials in a visual oddball paradigm are used. The reduced-noise visual oddball event-related potentials reveal gradual changes in morphology from trial to trial (especially for N1-P2 and N2-P3 waves at Fz), which can be hypothetically linked to attention or decision processes. The new noise reduction method is, thus, shown to be particularly suited for recovering single-event features in nonstationary low SNR multievent contexts.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent1693556 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1809en_US
dc.relation.ispartofpageto1821en_US
dc.relation.ispartofissue7en_US
dc.relation.ispartofjournalIEEE Transactions on Biomedical Engineeringen_US
dc.relation.ispartofvolume55en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchSignal Processingen_US
dc.subject.fieldofresearchBiological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)en_US
dc.subject.fieldofresearchcode090609en_US
dc.subject.fieldofresearchcode170101en_US
dc.titleNoise reduction in rhythmic and multitrial biosignals with applications to event-related potentialsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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