An EEG Recognition Algorithm of Motor Imagery Based on Neural Network Ensemble

Being aiming at motor imagery EEG,a recognition algorithm based on Neural Network Ensemble (NNE) is presented.The main features of left-right hands imagery movement are obtained by using discrete wavelet transform (DWT),then a NNE model is constructed by Bagging algorithm,and the output result of NNE is received through the relative majority vote method.The experiment results of BCI Competition 2003 database show that the recognition rate is better than that of the single neural network.Moreover,the configuration difficulty of single neural network is reduced,and the generalization ability of the system is improved.