DocumentCode :
1629240
Title :
Feature extraction of EEG signals during right and left motor imagery
Author :
Inoue, Katsuluro ; Mori, Daiki ; Sugioka, Kota ; Pfurtscheller, Gert ; Kumamaru, Kousuke
Author_Institution :
Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan
Volume :
3
fYear :
2004
Firstpage :
2183
Abstract :
In this paper, feature extraction of EEG signals during right and left motor imagery is tried. As the extraction method, directed information analysis, pattern recognition based on AR model, and mixture probability algorithm based on AR model is used. The learning and feature extraction method in pattern recognition are discussed through the experimental studies.
Keywords :
autoregressive processes; electroencephalography; feature extraction; medical signal processing; neurophysiology; probability; AR model; EEG signal; feature extraction; motor imagery; pattern recognition; probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
Type :
conf
Filename :
1491807
Link To Document :
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