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Conference Paper: Estimation of Evoked Potentials Using Wavelet Transform Based Time-Frequency Adaptive Filtering

TitleEstimation of Evoked Potentials Using Wavelet Transform Based Time-Frequency Adaptive Filtering
Authors
KeywordsWavelet transform
Adaptive filter bank
Time-frequency analysis
Evoked potentials
Issue Date1997
PublisherIEEE.
Citation
The 19th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Chicago, Illinois, USA, 30 October - 2 November 1997, v. 4, p. 1508-1510 How to Cite?
AbstractA time-frequency domain adaptive filtering method is presented to estimate evoked potentials. The wavelet transform is used to represent the original responses in the time-frequency domain with a discrete set of wavelet coefficients. Each coefficient, which is related to the time extent and the frequency extent in the time-frequency plane, is processed by an adaptive signal enhancer (ASE) to enhance the signal components. The processed coefficients are then used to reconstruct the evoked potential signals with the inverse wavelet transform. Visual evoked potentials (VEPs) from human subjects are estimated, and good results are obtained by this method,
Persistent Identifierhttp://hdl.handle.net/10722/46057
ISSN
2020 SCImago Journal Rankings: 0.282

 

DC FieldValueLanguage
dc.contributor.authorLiu, Wen_HK
dc.contributor.authorQiu, Wen_HK
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorPoon, PWFen_HK
dc.date.accessioned2007-10-30T06:41:36Z-
dc.date.available2007-10-30T06:41:36Z-
dc.date.issued1997en_HK
dc.identifier.citationThe 19th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Chicago, Illinois, USA, 30 October - 2 November 1997, v. 4, p. 1508-1510en_HK
dc.identifier.issn1557-170Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46057-
dc.description.abstractA time-frequency domain adaptive filtering method is presented to estimate evoked potentials. The wavelet transform is used to represent the original responses in the time-frequency domain with a discrete set of wavelet coefficients. Each coefficient, which is related to the time extent and the frequency extent in the time-frequency plane, is processed by an adaptive signal enhancer (ASE) to enhance the signal components. The processed coefficients are then used to reconstruct the evoked potential signals with the inverse wavelet transform. Visual evoked potentials (VEPs) from human subjects are estimated, and good results are obtained by this method,en_HK
dc.format.extent274983 bytes-
dc.format.extent13817 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©1997 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.-
dc.subjectWavelet transformen_HK
dc.subjectAdaptive filter banken_HK
dc.subjectTime-frequency analysisen_HK
dc.subjectEvoked potentialsen_HK
dc.titleEstimation of Evoked Potentials Using Wavelet Transform Based Time-Frequency Adaptive Filteringen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=4&spage=1508&epage=1510&date=1997&atitle=Estimation+of+Evoked+Potentials+Using+Wavelet+Transform+Based+Time-Frequency+Adaptive+Filteringen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IEMBS.1997.756995en_HK
dc.identifier.hkuros34869-
dc.identifier.issnl1557-170X-

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