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.


Presented at:
5th Int Brain-Computer Interface Conference, 2011, Graz, Austria,, September 22-24, 2011
Year:
2011
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 Record created 2011-06-09, last modified 2018-01-28

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