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Conference Papers Year : 2009

EEG Error-Related Potentials Detection With A Bayesian Filter

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Abstract

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.
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Dates and versions

inria-00365266 , version 1 (12-03-2009)

Identifiers

  • HAL Id : inria-00365266 , version 1

Cite

Jean-Marc Bollon, Ricardo Chavarriaga, José del R. Millán, Pierre Bessiere. EEG Error-Related Potentials Detection With A Bayesian Filter. 4th International IEEE EMBS Conference on Neural Engineering, Apr 2009, Antalya, Turkey. ⟨inria-00365266⟩
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