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Description
  • Brain-Computer Interfaces (BCI) controlled through imagined movements cannot work properly without a correct classification of EEG signals. The difficulty of this problem consists in low signal-to-noise ratio, because EEG may contain strong signal components that are not related to motor imagery. In this paper, these artifact components are to be suppressed using a recently proposed underdetermined blind source separation method and a novel MMSE beamformer. We use these tools to remove unwanted components of EEG to increase the classification accuracy of the BCI system. In our experiments with several datasets, the classification is improved by up to 10%.
  • Brain-Computer Interfaces (BCI) controlled through imagined movements cannot work properly without a correct classification of EEG signals. The difficulty of this problem consists in low signal-to-noise ratio, because EEG may contain strong signal components that are not related to motor imagery. In this paper, these artifact components are to be suppressed using a recently proposed underdetermined blind source separation method and a novel MMSE beamformer. We use these tools to remove unwanted components of EEG to increase the classification accuracy of the BCI system. In our experiments with several datasets, the classification is improved by up to 10%. (en)
Title
  • A TREATMENT OF EEG DATA BY UNDERDETERMINED BLIND SOURCE SEPARATION FOR MOTOR IMAGERY CLASSIFICATION
  • A TREATMENT OF EEG DATA BY UNDERDETERMINED BLIND SOURCE SEPARATION FOR MOTOR IMAGERY CLASSIFICATION (en)
skos:prefLabel
  • A TREATMENT OF EEG DATA BY UNDERDETERMINED BLIND SOURCE SEPARATION FOR MOTOR IMAGERY CLASSIFICATION
  • A TREATMENT OF EEG DATA BY UNDERDETERMINED BLIND SOURCE SEPARATION FOR MOTOR IMAGERY CLASSIFICATION (en)
skos:notation
  • RIV/46747885:24220/12:#0002020!RIV13-GA0-24220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP103/11/1947)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 120706
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24220/12:#0002020
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Underdetermined Blind Source Separation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [85197677D120]
http://linked.open...v/mistoKonaniAkce
  • Bucharest, ROMANIA
http://linked.open...i/riv/nazevZdroje
  • 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
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
  • Koldovský, Zbyněk
  • Tichavský, P.
  • Cichocki, A.
  • Phan, A. P.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000310623800298
http://linked.open.../riv/zahajeniAkce
issn
  • 2076-1465
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
https://schema.org/isbn
  • 978-1-4673-1068-0
http://localhost/t...ganizacniJednotka
  • 24220
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