Optimization of EEG Signal Processing

Abstract

In order to solve the problem of the identification accuracy and eeg signal stability of BCI equipment, firstly, the identification accuracy, signal-to-noise ratio and stability of BCI to EEG signals are improved through the study of the pre-processing, feature extraction of motion imagination EEG signals, so as to obtain more characteristic information.Secondly, wavelet thresholding is used as the pre-processing method of EEG signal.Finally, the feature extraction of eeg signals from motion imagination.The experimental results show that the expected EEG signal can be denoised and feature extracted.