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  Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface

Hill, J., Lal, T., Bierig, K., Birbaumer, N., & Schölkopf, B. (2005). Attentional 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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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D747-E Version Permalink: https://hdl.handle.net/21.11116/0000-0005-507C-6
Genre: Conference Paper

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Locator:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1454156 (Publisher version)
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 Creators:
Hill, J1, 2, Author           
Lal, TN1, 2, Author           
Bierig, K2, 3, Author           
Birbaumer, N, Author
Schölkopf, B1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: 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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 Dates: 2005-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/BIOCAS.2004.1454156
BibTex Citekey: 2951
 Degree: -

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Title: IEEE International Workshop on Biomedical Circuits and Systems (BioCAS 2004)
Place of Event: Singapore
Start-/End Date: 2004-12-01 - 2004-12-03

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Title: IEEE International Workshop on Biomedical Circuits and Systems 2004
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA, USA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: S3.5.INV-17 - S3.5.INV-20 Identifier: ISBN: 0-7803-8665-5