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  Attention modulation of auditory event-related potentials in a brain-computer interface

Hill, J., Lal, T., Bierig, K., Birbaumer, N., & Schölkopf, B. (2005). Attention modulation of auditory event-related potentials in a brain-computer interface. In IEEE International Workshop on Biomedical Circuits and Systems 2004 (pp. S3.5.INV-17-S3.5.INV-20). Los Alamitos, CA, USA: IEEE Computer Society.

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 Urheber:
Hill, J1, Autor           
Lal, TN1, Autor           
Bierig, K2, Autor           
Birbaumer, N, Autor
Schölkopf, B1, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a brain-computer interface that uses auditory stimuli. We describe a paradigm that allows a user to make a binary decision by focusing attention on one of two concurrent auditory stimulus sequences. Using Support Vector Machine classification and Recursive Channel Elimination on the independent components of averaged event-related potentials, we show that an untrained user‘s EEG data can be classified with an encouragingly high level of accuracy. This suggests that it is possible for users to modulate EEG signals in a single trial by the conscious direction of attention, well enough to be useful in BCI.

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 Datum: 2005-06
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1109/BIOCAS.2004.1454156
BibTex Citekey: 2951
 Art des Abschluß: -

Veranstaltung

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Titel: IEEE International Workshop on Biomedical Circuits and Systems (BioCAS 2004)
Veranstaltungsort: Singapore
Start-/Enddatum: 2004-12-01 - 2004-12-03

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Titel: IEEE International Workshop on Biomedical Circuits and Systems 2004
Genre der Quelle: Konferenzband
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Ort, Verlag, Ausgabe: Los Alamitos, CA, USA : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: S3.5.INV-17 - S3.5.INV-20 Identifikator: ISBN: 0-7803-8665-5