Electroencephalography Feature Extraction Using High Time-Frequency Resolution Analysis

Zhang Shao-bai (Nanjing University of Posts and Telecommunications)
Huang Dan-dan (Nanjing University of Posts and Telecommunications)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 10, No 6: October 2012

The way to analyze EEG signals is mainly the method of time-frequency analysis, 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 MAF 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 give a better energy distribution in the time-frequency field compared with the traditional methods. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1395