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dc.contributor.authorLo, PCen_US
dc.contributor.authorChung, WPen_US
dc.date.accessioned2014-12-08T15:44:07Z-
dc.date.available2014-12-08T15:44:07Z-
dc.date.issued2001-03-01en_US
dc.identifier.issn0018-9294en_US
dc.identifier.urihttp://dx.doi.org/10.1109/10.914803en_US
dc.identifier.urihttp://hdl.handle.net/11536/29793-
dc.description.abstractThe complexity index (delta) quantifies the intrinsic dimensionality of the global complexity of a point set, and was shown to be able to characterize electroencephalogram spatial-temporal features. The complexity index is conceptually comprehensible and easily implemented, yet, it is time consuming. In this paper, we present an efficient computational method based on the projection of the high-dimensional state-space points onto a one-dimensional axis. The computational time decreases by at least 50%, without affecting the measure accuracy.en_US
dc.language.isoen_USen_US
dc.subjectcomplexity indexen_US
dc.subjectglobal waveform complexityen_US
dc.subjectintrinsic dimensionen_US
dc.subjectmultichannel EEG (electroencephalogram)en_US
dc.subjectspatial-temporal featureen_US
dc.subjectstate-space trajectoryen_US
dc.titleAn efficient method for quantifying the multichannel EEG spatial-temporal complexityen_US
dc.typeLetteren_US
dc.identifier.doi10.1109/10.914803en_US
dc.identifier.journalIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERINGen_US
dc.citation.volume48en_US
dc.citation.issue3en_US
dc.citation.spage394en_US
dc.citation.epage397en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000167765000014-
dc.citation.woscount3-
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