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The paper proposed pattern recognition method based on ICA (Independent Component Analysis) for EEG (electroencephalogram) signals d uring right and left hand motor imagery. ICA can separate unknown source signals from their mixture signals if they are statistically independent. Some effective features for pat田 tern recognition appear in the separated signals with scaling adjuster. In this paper, we try to discriminate EEG signals during left and right hand motor imagery based on ICA. As a r巴sult,we obtained the prospect concerning the construction of BCI system with the reliable pattern recognition method for discrimination of motor imagery.

Pattern identification of EEG during Motor Imagery using ICA