Compared study of the analyzing methods for EEG data

There are large numbers of physiologic and diseased information in electroencephalogram (EEG) signals. It can provide clinical diagnosis information for doctors by the effective processing of EEG data. Therefore, the analyzing methods of EEG are the key technology of the brain-computer interface. Based on wavelet transform, short-time Fourier transform, spectrum analysis and the Wigner distribution, some methods were used to analyze the EEG signals collected from drinking testers and no-drinking testers. Experimental results showed that there were relevant effects of the chronic alcohol´s stimulation on the nervous system in a certain extent. In the drinking tester´s EEG data, transient pulse signals appeared in the nearby of 0.6s, the energy of EEG power spectrum concentrated obviously in the low frequency. It is clear that the methods presented in this paper could extract the feature effectively.