Electroencephalography Feature Extraction Using Wavelet Transform
Wu Ting · Journal of Shanghai Dianji University · 2011
To study brain-computer interfaces(BCI),a method of feature extraction and classification used for two kinds of imaginations is proposed based on wavelet transform.The feature vector is composed of some decomposition coefficients according to the Fisher rules.The experiment's background and theoretical foundation are analyzed using the data sets of BCI 2005.The classification errors are compared with the best result of the competition.The results show that the proposed method is more effective and has advantages in practical applications.