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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)
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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)
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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)
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skos:notation
| - RIV/46747885:24220/12:#0002020!RIV13-GA0-24220___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/46747885:24220/12:#0002020
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Underdetermined Blind Source Separation (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/nazevZdroje
| - 2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Koldovský, Zbyněk
- Tichavský, P.
- Cichocki, A.
- Phan, A. P.
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http://linked.open...vavai/riv/typAkce
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http://linked.open...ain/vavai/riv/wos
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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