A Research on the Method of Motor Imagery EEG Feature Extraction Based on Blind Source Separation
ZHANG Li-guo1,ZHANG Yu-man1,JIN Mei1,YU Guo-hui2
1.Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao,Hebei 066004, China;
2.Audio-Visual Machinery Research Institute, Qinhuangdao, Hebei 066000, China
Abstract：Motor imagery has been widely used in EEG based brain-computer interface systems. In order to extract feature of the motor imagery EEG accurately and efficiently, the feature of the motor imagery EEG in time, frequency and spatial domain is analysed. Then an approach is put forward that extract feature of the motor imagery EEG from time, frequency and spatial domain, with preprocessing of wavelet transforming and using spatial filter obtained from SOBI and ITFE. Experimental results verify that the proposed method has an obvious improvement in feature extraction compared with the other methods, and the spatial filter obtained from SOBI and ITFE can reflect veridical brains activity.
张立国,张玉曼,金梅,于国辉. 基于盲源分离的运动想象脑电信号特征提取方法的研究[J]. 计量学报, 2015, 36(5): 535-539.
ZHANG Li-guo,ZHANG Yu-man,JIN Mei,YU Guo-hui. A Research on the Method of Motor Imagery EEG Feature Extraction Based on Blind Source Separation. Acta Metrologica Sinica, 2015, 36(5): 535-539.
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2015, Vol. 36 
