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Conference Paper: The investigation of time-varying synchrony of EEG during sentence learning using wavelet analysis

TitleThe investigation of time-varying synchrony of EEG during sentence learning using wavelet analysis
Authors
Issue Date2002
PublisherIEEE.
Citation
The 9th International Conference on Neural Information Processing, Singapore, 18-22 November 2002, v. 1, p. 92-95 How to Cite?
AbstractThe synchrony analysis has been used as a tool for the purpose of investigating how the cognitive processes take place between different brain regions when the specified learning task is going on. We propose a novel method based on the time-frequency representation for quantifying synchronization between two channel EEG with both temporal and spectral resolution. The presented method employed the wavelet transform for cross coherent spectral analysis of the EEG signals recorded during sentences recognizing and learning. The wavelet-coherent magnitude spectra provide the information indicating the degree of coherence and the cross-wavelet phase relation serves to indicate the direction of information flow between two EEG channels on different cortical regions. Real EEG recordings are collected based on a cognitive target. It is observed from both the magnitude spectra and phase of the wavelet coherence that there are obvious differences between the identification of both Chinese and English sentences. These are helpful for the research on the English study for Chinese students.
Persistent Identifierhttp://hdl.handle.net/10722/46378
ISBN

 

DC FieldValueLanguage
dc.contributor.authorShen, Men_HK
dc.contributor.authorSun, Len_HK
dc.contributor.authorTing, KHen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:36Z-
dc.date.available2007-10-30T06:48:36Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 9th International Conference on Neural Information Processing, Singapore, 18-22 November 2002, v. 1, p. 92-95en_HK
dc.identifier.isbn981-04-7524-1en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46378-
dc.description.abstractThe synchrony analysis has been used as a tool for the purpose of investigating how the cognitive processes take place between different brain regions when the specified learning task is going on. We propose a novel method based on the time-frequency representation for quantifying synchronization between two channel EEG with both temporal and spectral resolution. The presented method employed the wavelet transform for cross coherent spectral analysis of the EEG signals recorded during sentences recognizing and learning. The wavelet-coherent magnitude spectra provide the information indicating the degree of coherence and the cross-wavelet phase relation serves to indicate the direction of information flow between two EEG channels on different cortical regions. Real EEG recordings are collected based on a cognitive target. It is observed from both the magnitude spectra and phase of the wavelet coherence that there are obvious differences between the identification of both Chinese and English sentences. These are helpful for the research on the English study for Chinese students.en_HK
dc.format.extent393476 bytes-
dc.format.extent511437 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
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©2002 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.titleThe investigation of time-varying synchrony of EEG during sentence learning using wavelet analysisen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=981-04-7524-1&volume=1&spage=92&epage=95&date=2002&atitle=The+investigation+of+time-varying+synchrony+of+EEG+during+sentence+learning+using+wavelet+analysisen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICONIP.2002.1202137en_HK
dc.identifier.hkuros81943-
dc.identifier.citeulike2754407-

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