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Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces

2005

Article

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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.

Author(s): Schröder, M. and Lal, TN. and Hinterberger, T. and Bogdan, M. and Hill, J. and Birbaumer, N. and Rosenstiel, W. and Schölkopf, B.
Journal: EURASIP Journal on Applied Signal Processing
Volume: 2005
Number (issue): 19, Special Issue: Trends in Brain Computer Interfaces
Pages: 3103-3112
Year: 2005
Day: 0
Editors: Vesin, J. M., T. Ebrahimi

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1155/ASP.2005.3103
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: Web

BibTex

@article{2837,
  title = {Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces},
  author = {Schr{\"o}der, M. and Lal, TN. and Hinterberger, T. and Bogdan, M. and Hill, J. and Birbaumer, N. and Rosenstiel, W. and Sch{\"o}lkopf, B.},
  journal = {EURASIP Journal on Applied Signal Processing},
  volume = {2005},
  number = {19, Special Issue: Trends in Brain Computer Interfaces},
  pages = {3103-3112},
  editors = {Vesin, J. M., T. Ebrahimi},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  year = {2005}
}