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Huang Dan-dan
Nanjing University of Posts and Telecommunications

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Electroencephalography Feature Extraction Using High Time-Frequency Resolution Analysis Zhang Shao-bai; Huang Dan-dan
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

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 
Co-Authors Zhang Shao-bai