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dc.contributor.authorGysels, E.
dc.contributor.authorRenevey, P.
dc.contributor.authorCelka, Patrick
dc.contributor.editorR. Haux
dc.date.accessioned2017-05-03T11:59:56Z
dc.date.available2017-05-03T11:59:56Z
dc.date.issued2007
dc.date.modified2010-07-15T07:39:52Z
dc.identifier.issn00261270
dc.identifier.urihttp://hdl.handle.net/10072/19014
dc.description.abstractOBJECTIVE: Brain-computer interface (BCI) research aims at developing communication devices for the motor disabled. Such devices are not driven by muscle activity, but by brain activity recorded during different mental tasks. We present here the comparison of phase synchronization and power spectral density (PSD) features, computed from broadband and narrowband filtered EEG signals and their ability to discriminate three mental tasks. METHODS: EEG signals were recorded from five subjects while performing left and right hand movement imagination and word generation. We applied a modified Fast Correlation Based Filter (FCBF) [9] for the purpose of feature selection. RESULTS: We found that the features were selected from electrode signals corresponding to neurophysiological evidence, i.e. electrodes lying over the motor cortex. PSD and phase locking value (PLV) features were more discriminative when computed from narrowband (8-12 Hz) and broadband (8-30 Hz) filtered signals respectively. CONCLUSIONS: The generalization performance is as good as the one obtained with SVM-rfe, but this algorithm is faster and selects fewer features. These properties may make FCBF a valuable tool for further improvement of BCIs.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent295304 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_AU
dc.publisherSchattauer GmbH
dc.publisher.placeGermany
dc.publisher.urihttp://www.schattauer.de/de/magazine/uebersicht/zeitschriften-a-z/methods.html
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom160
dc.relation.ispartofpageto163
dc.relation.ispartofjournalMethods of Information in Medicine
dc.relation.ispartofvolume2
dc.rights.retentionY
dc.subject.fieldofresearchBiological Sciences
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchcode06
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode11
dc.titleFast feature selection to compare broadband with narrowband phase synchronization in brain-computer interfaces
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2009 Schattauer. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version
gro.date.issued2007
gro.hasfulltextFull Text
gro.griffith.authorCelka, Patrick


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