About: Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry     Goto   Sponge   NotDistinct   Permalink

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  • It is shown that despite the fact that the motor imagery based brain computer interface does not rely on any particular feature of EEG signal defined a priori, system designed on the basis of EEG signal classifier is indeed controlled by the signals originating in the motor cortex. To prove this the most distinguishable EEG patterns were extracted by means of Independent Component Analysis with consequent cross-validation procedure used to select the independent components significant to the brain computer interface performance. Sources of the brain activity represented by the chosen independent components were located using single dipole approximation with individual head geometry model. These sources were found in the bottom of the central sulcus, area 3a, for each subject. These results are in good agreement with the outcome of fMRI study conducted under the same conditions.
  • It is shown that despite the fact that the motor imagery based brain computer interface does not rely on any particular feature of EEG signal defined a priori, system designed on the basis of EEG signal classifier is indeed controlled by the signals originating in the motor cortex. To prove this the most distinguishable EEG patterns were extracted by means of Independent Component Analysis with consequent cross-validation procedure used to select the independent components significant to the brain computer interface performance. Sources of the brain activity represented by the chosen independent components were located using single dipole approximation with individual head geometry model. These sources were found in the bottom of the central sulcus, area 3a, for each subject. These results are in good agreement with the outcome of fMRI study conducted under the same conditions. (en)
Title
  • Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry
  • Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry (en)
skos:prefLabel
  • Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry
  • Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry (en)
skos:notation
  • RIV/67985807:_____/12:00377144!RIV13-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 147330
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/12:00377144
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • BCI; ICA; Bayesian classification; EEG inverse problem; motor imagery; mu rhythm; fMRI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D62A0B500B66]
http://linked.open...v/mistoKonaniAkce
  • Shenyang
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Advances in Neural Networks - ISNN 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bobrov, P.
  • Frolov, A.
  • Húsek, Dušan
  • Korshakov, A. V.
  • Chernikova, L.
  • Konovalov, R.
  • Mokienko, O.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-31345-5
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