DocumentCode :
2225068
Title :
EEG error-related potentials detection with a Bayesian filter
Author :
Bollon, Jean-Marc ; Chavarriaga, Ricardo ; del R. Millan, Jose ; Bessière, Pierre
Author_Institution :
INRIA Rhones-Alpes, Montbonnot, France
fYear :
2009
fDate :
April 29 2009-May 2 2009
Firstpage :
702
Lastpage :
705
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.
Keywords :
Bayes methods; electroencephalography; error analysis; medical signal detection; medical signal processing; pattern classification; probability; signal classification; user interfaces; Bayesian filter; EEG error-related potential detection; external interface system error monitoring; probabilistic classifier; single-trial classification; Band pass filters; Bayesian methods; Control systems; Electrodes; Electroencephalography; Error correction; Humans; Monitoring; Neural engineering; Protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
Type :
conf
DOI :
10.1109/NER.2009.5109393
Filename :
5109393
Link To Document :
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