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Please use this identifier to cite or link to this item: https://doi.org/10.1109/TBME.2007.890733
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dc.titleA feature selection method for multilevel mental fatigue EEG classification
dc.contributor.authorShen, K.-Q.
dc.contributor.authorOng, C.-J.
dc.contributor.authorHui, Z.
dc.contributor.authorLi, X.-P.
dc.contributor.authorWilder-Smith, E.P.V.
dc.date.accessioned2011-09-27T05:44:51Z
dc.date.available2011-09-27T05:44:51Z
dc.date.issued2007
dc.identifier.citationShen, K.-Q., Ong, C.-J., Hui, Z., Li, X.-P., Wilder-Smith, E.P.V. (2007). A feature selection method for multilevel mental fatigue EEG classification. IEEE Transactions on Biomedical Engineering 54 (7) : 1231-1237. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2007.890733
dc.identifier.issn00189294
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/27112
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TBME.2007.890733
dc.sourceScopus
dc.subjectElectroencephalogram (EEG)
dc.subjectFeature selection
dc.subjectMental fatigue
dc.subjectRandom forests
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentMEDICINE
dc.description.doi10.1109/TBME.2007.890733
dc.description.sourcetitleIEEE Transactions on Biomedical Engineering
dc.description.volume54
dc.description.issue7
dc.description.page1231-1237
dc.identifier.isiut000247390700007
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