DocumentCode :
744670
Title :
A local neural classifier for the recognition of EEG patterns associated to mental tasks
Author :
Millán, JosédelR ; Mourino, Josep ; Franzé, Marco ; Cincotti, Febo ; Varsta, Markus ; Heikkonen, Jukka ; Babiloni, Fabio
Author_Institution :
Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy
Volume :
13
Issue :
3
fYear :
2002
fDate :
5/1/2002 12:00:00 AM
Firstpage :
678
Lastpage :
686
Abstract :
This paper proposes a novel and simple local neural classifier for the recognition of mental tasks from on-line spontaneous EEG signals. The proposed neural classifier recognizes three mental tasks from on-line spontaneous EEG signals. Correct recognition is around 70%. This modest rate is largely compensated by two properties, namely low percentage of wrong decisions (below 5%) and rapid responses (every 1/2 s). Interestingly, the neural classifier achieves this performance with a few units, normally just one per mental task. Also, since the subject and his/her personal interface learn simultaneously from each other, subjects master it rapidly (in a few days of moderate training). Finally, analysis of learned EEG patterns confirms that for a subject to operate satisfactorily a brain interface, the latter must fit the individual features of the former
Keywords :
electroencephalography; medical signal processing; neural nets; pattern classification; signal classification; user interfaces; EEG pattern recognition; brain computer interface; local neural classifier; mental tasks; neural network; online spontaneous EEG signals; performance; personal interface; Brain; Communication channels; Communication system control; Electroencephalography; Fingers; Laboratories; Mutual coupling; Pattern analysis; Pattern recognition; Rhythm;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2002.1000132
Filename :
1000132
Link To Document :
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