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

Hill, N., Lal, T., Schröder, M., Hinterberger T, Wilhelm B, Nijboer F, Mochty U, Widman G, Elger CE, Schölkopf, B., Kübler, A., & Birbaumer, N. (2006). Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 183-186. doi:10.1109/TNSRE.2006.875548.

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Hill, NJ1, Autor           
Lal, TN1, Autor           
Schröder, M2, Autor           
Hinterberger T, Wilhelm B, Nijboer F, Mochty U, Widman G, Elger CE, Schölkopf, B1, Autor           
Kübler, A, Autor
Birbaumer, N, Autor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: 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.

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 Datum: 2006-06
 Publikationsstatus: Erschienen
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Titel: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 14 (2) Artikelnummer: - Start- / Endseite: 183 - 186 Identifikator: -