DocumentCode :
2172154
Title :
Designing spatial filters based on neuroscience theories to improve error-related potential classification
Author :
Sandra, Rousseau ; Christian, Jutten ; Marco, Congedo
Author_Institution :
DIS, Gipsa-Lab., Grenoble University, St. Martin d´´Hères, France
fYear :
2012
fDate :
23-26 Sept. 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the error-related potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.
Keywords :
medical signal processing; neurophysiology; signal classification; spatial filters; cognitive load condition; error-related potential classification; neurophysiological theory; neuroscience theory; single-trial classification; spatial filter; Accuracy; Bars; Electric potential; Electrodes; Estimation; Noise; Standards; BCI; error-related potential; single-trial classification; spatial filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
Conference_Location :
Santander
ISSN :
1551-2541
Print_ISBN :
978-1-4673-1024-6
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2012.6349740
Filename :
6349740
Link To Document :
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