@article{2837,
  title = {Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces},
  journal = {EURASIP Journal on Applied Signal Processing},
  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.},
  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},
  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.},
  doi = {10.1155/ASP.2005.3103}
}