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Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects

2006

Article

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We summarize results from a series of related studies that aim to develop a motor-imagery-based brain-computer interface using a single recording session of EEG or ECoG signals for each subject. We apply the same experimental and analytical methods to 11 non-paralysed subjects (8 EEG, 3 ECoG), and to 5 paralysed subjects (4 EEG, 1 ECoG) who had been unable to communicate for some time. While it was relatively easy to obtain classifiable signals quickly from most of the non-paralysed subjects, it proved impossible to classify the signals obtained from the paralysed patients by the same methods. This highlights the fact that though certain BCI paradigms may work well with healthy subjects, this does not necessarily indicate success with the target user group. We outline possible reasons for this failure to transfer.

Author(s): Hill, NJ. and Lal, TN. and Schröder, M. and Hinterberger, T. and Wilhelm, B. and Nijboer, F. and Mochty, U. and Widman, G. and Elger, CE. and Schölkopf, B. and Kübler, A. and Birbaumer, N.
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume: 14
Number (issue): 2
Pages: 183-186
Year: 2006
Month: June
Day: 0

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

Digital: 0
DOI: 10.1109/TNSRE.2006.875548
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

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@article{4036,
  title = {Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects},
  author = {Hill, NJ. and Lal, TN. and Schr{\"o}der, M. and Hinterberger, T. and Wilhelm, B. and Nijboer, F. and Mochty, U. and Widman, G. and Elger, CE. and Sch{\"o}lkopf, B. and K{\"u}bler, A. and Birbaumer, N.},
  journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  volume = {14},
  number = {2},
  pages = {183-186},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jun,
  year = {2006},
  month_numeric = {6}
}