The analysis of dynamic EEG signals by using wavelet packets decomposition

Wavelet transformation is employed to investigate the nonstationarity of clinical EEG signals and other medical signals. In order to detect 4 kinds of EEG rhythms, wavelet packet analysis is used for designing filters with different frequency characteristics. Two kinds of EEG data with different brain function states are analyzed and compared. It is indicated from the experimental results that the dynamic characteristics of clinical brain electrical activities can be demonstrated by using a wavelet packet technique. The method presented in this paper also proposes a new way for the analysis of other biomedical signals.