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Conference Paper: Multi-channel Fourier packet transform of EEG: optimal representation and time-varying coherence

TitleMulti-channel Fourier packet transform of EEG: optimal representation and time-varying coherence
Authors
KeywordsEEG
ERP
Fourier Packet
Coherence
Issue Date2003
PublisherIEEE.
Citation
IEEE - E M B S Asian-Pacific Conference on Biomedical Engineering, Kyoto-Osaka-Nara, JAPAN, 20-22 October 2003, p. 120-121 How to Cite?
AbstractMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to be studied, the time-domain EEG signal can be analyzed via Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the unavailability of phase information in wavelet transform limit their applicability in EEG analysis. In this paper, multi-channel Fourier packet transform is introduced. The algorithm resembles the wavelet packet transform by its binary tree search for an optimal selection of orthogonal basis, but extends the application to the multi-channel scenario. It aims to provide a sparse signal representation to localize features in the spatial-spectral-temporal domain. Since the decomposed atoms are spatially coherent components, analysis of time-varying synchrony across scalp locations is then possible.
Persistent Identifierhttp://hdl.handle.net/10722/46514

 

DC FieldValueLanguage
dc.contributor.authorTing, KHen_HK
dc.contributor.authorShen, Men_HK
dc.contributor.authorFung, PCWen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:51:40Z-
dc.date.available2007-10-30T06:51:40Z-
dc.date.issued2003en_HK
dc.identifier.citationIEEE - E M B S Asian-Pacific Conference on Biomedical Engineering, Kyoto-Osaka-Nara, JAPAN, 20-22 October 2003, p. 120-121en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46514-
dc.description.abstractMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to be studied, the time-domain EEG signal can be analyzed via Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the unavailability of phase information in wavelet transform limit their applicability in EEG analysis. In this paper, multi-channel Fourier packet transform is introduced. The algorithm resembles the wavelet packet transform by its binary tree search for an optimal selection of orthogonal basis, but extends the application to the multi-channel scenario. It aims to provide a sparse signal representation to localize features in the spatial-spectral-temporal domain. Since the decomposed atoms are spatially coherent components, analysis of time-varying synchrony across scalp locations is then possible.en_HK
dc.format.extent210170 bytes-
dc.format.extent13817 bytes-
dc.format.extent3485 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©2003 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_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectEEGen_HK
dc.subjectERPen_HK
dc.subjectFourier Packeten_HK
dc.subjectCoherenceen_HK
dc.titleMulti-channel Fourier packet transform of EEG: optimal representation and time-varying coherenceen_HK
dc.typeConference_Paperen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/APBME.2003.1302613en_HK
dc.identifier.hkuros96199-

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