EEG classification of mild and severe Alzheimer's disease using parallel factor analysis method: PARAFAC decomposition of spectral-spatial characteristics of EEG time series

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dc.contributor.authorLatchoumane, CFV-
dc.contributor.authorVialatte, FB-
dc.contributor.authorJeong, Jaeseung-
dc.contributor.authorCichock, IA-
dc.date.accessioned2013-03-26T00:39:32Z-
dc.date.available2013-03-26T00:39:32Z-
dc.date.created2012-02-06-
dc.date.issued2009-
dc.identifier.citation, v., no., pp.705 - 715-
dc.identifier.urihttp://hdl.handle.net/10203/156452-
dc.languageENG-
dc.titleEEG classification of mild and severe Alzheimer's disease using parallel factor analysis method: PARAFAC decomposition of spectral-spatial characteristics of EEG time series-
dc.typeConference-
dc.identifier.scopusid2-s2.0-78651588533-
dc.type.rimsCONF-
dc.citation.beginningpage705-
dc.citation.endingpage715-
dc.identifier.conferencecountryUnited States-
dc.identifier.conferencecountryUnited States-
dc.contributor.localauthorJeong, Jaeseung-
dc.contributor.nonIdAuthorLatchoumane, CFV-
dc.contributor.nonIdAuthorVialatte, FB-
dc.contributor.nonIdAuthorCichock, IA-
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BiS-Conference Papers(학술회의논문)
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