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Conference Paper: Analysis of time-varying synchronization of multi-channel EEG signals using wavelet coherence

TitleAnalysis of time-varying synchronization of multi-channel EEG signals using wavelet coherence
Authors
Issue Date2003
PublisherIEEE.
Citation
International Conference on Neural Networks and Signal Processing Proceedings, Nanjing, China, 14-17 December 2003, v. 1, p. 216-219 How to Cite?
AbstractThis paper proposes a novel method based on the time-frequency coherent representation for quantifying synchronization of multi-channel signals with high resolution. The presented wavelet-coherent technique provides the information regarding both the degree of coherence and the relation of phase difference. The wavelet coherence enables to provide the synchronization and the direction of information flow between two-channel signals. In addition, real EEG recordings are collected based on the cognitive targets during sentences identification and the wavelet coherence is employed for the analysis of the multi-channel EEG signals. It is observed from both the magnitude spectra and phase of the wavelet coherence that there are obvious differences between two kinds of cognitive activities. Finally, some results are illustrated with both simulation and real EEG lime series to show the effectiveness of the method.
Persistent Identifierhttp://hdl.handle.net/10722/46512
ISBN

 

DC FieldValueLanguage
dc.contributor.authorSun, LSen_HK
dc.contributor.authorShen, MFen_HK
dc.contributor.authorTing, KHen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:51:38Z-
dc.date.available2007-10-30T06:51:38Z-
dc.date.issued2003en_HK
dc.identifier.citationInternational Conference on Neural Networks and Signal Processing Proceedings, Nanjing, China, 14-17 December 2003, v. 1, p. 216-219en_HK
dc.identifier.isbn0-7803-7702-8en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46512-
dc.description.abstractThis paper proposes a novel method based on the time-frequency coherent representation for quantifying synchronization of multi-channel signals with high resolution. The presented wavelet-coherent technique provides the information regarding both the degree of coherence and the relation of phase difference. The wavelet coherence enables to provide the synchronization and the direction of information flow between two-channel signals. In addition, real EEG recordings are collected based on the cognitive targets during sentences identification and the wavelet coherence is employed for the analysis of the multi-channel EEG signals. It is observed from both the magnitude spectra and phase of the wavelet coherence that there are obvious differences between two kinds of cognitive activities. Finally, some results are illustrated with both simulation and real EEG lime series to show the effectiveness of the method.en_HK
dc.format.extent219479 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
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.titleAnalysis of time-varying synchronization of multi-channel EEG signals using wavelet coherenceen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7803-7702-8&volume=1&spage=216&epage=219&date=2003&atitle=Analysis+of+time-varying+synchronization+of+multi-channel+EEG+signals+using+wavelet+coherenceen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICNNSP.2003.1279250en_HK
dc.identifier.scopuseid_2-s2.0-57549112710-
dc.identifier.hkuros95145-

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