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hal.structure.identifierLaboratoire Traitement du Signal et de l'Image [LTSI]
dc.contributor.authorBRODU, Nicolas
hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierBrain-Computer Interface Laboratory - Singapore [BCI]
dc.contributor.authorLOTTE, Fabien
hal.structure.identifierVirtual Reality for Improved Innovative Immersive Interaction [VR4I]
dc.contributor.authorLÉCUYER, Anatole
dc.date.accessioned2024-04-15T09:47:10Z
dc.date.available2024-04-15T09:47:10Z
dc.date.issued2011-04-11
dc.date.conference2011-04-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198073
dc.description.abstractEnWe review different techniques for extracting the power information contained in frequency bands in the context of electroencephalography (EEG) based Brain-Computer Interfaces (BCI). In this domain it is common to apply only one algorithm for extracting the power information. However previous work and our current study confirm that one may indeed expect varying degrees of success by choosing inadequate algorithms for the power extraction. Our results suggest that on average one algorithm seems superior for extracting the power information for Motor Imagery tasks : the application of a Morlet wavelet on the raw EEG signals, with the time-frequency resolution tradeoff selected by cross-validation.
dc.language.isoen
dc.publisherIEEE
dc.source.titleIEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (SSCI'2011 CCMB)
dc.title.enComparative Study of Band-Power Extraction Techniques for Motor Imagery Classification
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/CCMB.2011.5952105
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.page1-6
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleIEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (SSCI'2011 CCMB)
bordeaux.countryFR
bordeaux.title.proceedingIEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (SSCI'2011 CCMB)
bordeaux.conference.cityParis
bordeaux.peerReviewedoui
hal.identifierinria-00609161
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2011-04-15
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00609161v1
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