Spatio-temporal filtering for EEG error related potentials.

This paper presents a new filter for EEG Event-Related Potentials that relies on spatio-temporal features. The results are analyzed with error-related potentials, and compared to the results obtained with Independent Component Analysis. Additionally, the obtained features are used for single-trial classification, showing that it is possible to obtain high classification accuracies with a very low number of features.


Présenté à:
5th Int Brain-Computer Interface Conference, 2011, Graz, Austria,, September 22-24, 2011
Année
2011
Laboratoires:




 Notice créée le 2011-06-09, modifiée le 2019-08-12

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