Abstract:

Since original EEG signals are non-stationary and very vulnerable to a variety of signal interference,we propose a method for EEG signal denoising based on wavelet transform and wavelet packet transform, and a method for EEG signal feature extraction based on wavelet packet transform.First,we use MindSet headset to collect original EEG data and denoise the data by wavelet transform and wavelet packet transform respectively. We compare the two methods,and the results prove the superiority of the proposed denoising method and the validity of the feature extraction method based on wavelet packet transform.

Key words: EEG signal;denoising;feature extraction;wavelet transform;wavelet packet transform