Electroencephalography Feature Extraction Analysis Based on High Time-frequency Resolution
Shaobai Zhang · Computer Technology and Development · 2013
The way to analyze EEG signals is mainly the method of time-frequency analysis,of which cross terms and resolution are two contradictory factors.However,the high time-frequency resolution analysis(HTFRA) can combine both of them.The HTFRA is based on the Wigner-Ville distribution and effectively eliminate the cross of Wigner-Ville distribution without affecting the signal resolution by using the median affined filter method for nonlinear filtering.The simulated signals are analyzed with short-time Fourier transform,Wigner-Ville distribution,and HTFRA respectively.The results indicate that HTFRA gives a better energy distribution in the time-frequency field compared with the traditional methods.This method is better applicable to the classification of EEG.