Title :
EEG signal analysis based on quasi-AR model: application to EEG signals during right and left motor imagery
Author :
Inoue, Katsuhiro ; Kajikawa, Ryo ; Nakamura, T. ; Pfurtscheller, Gert ; Kumamaru, Kousuke
Author_Institution :
Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
In this paper, quasi-AR model is introduced in order to analyze EEG signals. And it is discussed that feature extraction method by using linear structure of quasi-AR model, and statistical pattern recognition method. Applying to EEG signals during right and left motor imagery, the validity of quasi-AR model is confirmed.
Keywords :
autoregressive processes; electroencephalography; feature extraction; medical signal processing; EEG signal analysis; feature extraction method; motor imagery; quasiAR model; statistical pattern recognition method;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
