EEG Error-related Potentials Detection with a Bayesian Filter

Several studies describe evoked EEG potentials elicited when a subject is aware of an erroneous decision either taken by him or by an external interface. This paper try to detect Error-related potentials (ErrP) elicited when a human user want to monitors an external system upon which he has no control whatsoever. To this end we use a Bayesian filter to classify erroneous or correct events. On average over three subjects, the proposed probabilistic classifier achieves single-trial classification of 85% for correct trials and 71% for erroneous trials.


Publié dans:
Proceedings of the 4th International IEEE EMBS Conference on Neural Engineering, 702-705
Année
2009
Publisher:
IEEE
Mots-clefs:
Laboratoires:




 Notice créée le 2010-01-26, modifiée le 2019-01-17

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