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  Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces

Schröder, M., Lal, T., Hinterberger, T., Bogdan, M., Hill, J., Birbaumer, N., et al. (2005). Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces. EURASIP Journal on Applied Signal Processing, 2005(19): 174746, pp. 3103-3112. doi:10.1155/ASP.2005.3103.

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Schröder, M, Author           
Lal, TN1, 2, Author           
Hinterberger, T, Author
Bogdan, M, Author
Hill, J1, 2, Author           
Birbaumer, N, Author
Rosenstiel, W, Author
Schölkopf, B1, 2, Author           
Vesin , T, Editor
Ebrahimi, JM, Author
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: Most EEG-based Brain Computer Interface (BCI) paradigms come along with specific electrode positions, e.g.~for a visual based BCI electrode positions close to the primary visual
cortex are used. For new BCI paradigms
it is usually not known where task relevant activity can be
measured from the scalp. For individual subjects Lal et.~al showed that recording positions can
be found without the use of prior knowledge about the paradigm used. However it remains unclear to what extend their
method of Recursive Channel Elimination (RCE)
can be generalized across subjects.
In this paper we transfer channel rankings from a group of subjects
to a new subject.
For motor imagery tasks the results are promising, although cross-subject channel
selection does not quite achieve the performance of channel selection on data of single subjects.
Although the RCE method was not provided with prior knowledge about the
mental task, channels that are
well known to be important (from a physiological point of view)
were consistently selected whereas task-irrelevant channels
were reliably disregarded.

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 Dates: 2005-11
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1155/ASP.2005.3103
BibTex Citekey: 2837
 Degree: -

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Title: EURASIP Journal on Applied Signal Processing
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 2005 (19) Sequence Number: 174746 Start / End Page: 3103 - 3112 Identifier: -