The analysis of dynamic EEG signals by using wavelet packets decomposition

Author

Minfen, Shen ; Fenglin, Shen

Author_Institution

Dept. of Electron. Eng., Shantou Univ., Guangdong, China

fYear

1998

Firstpage

85

Lastpage

88

Abstract

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

Keywords

electroencephalography; medical signal processing; pattern recognition; quadrature mirror filters; wavelet transforms; EEG rhythms; biomedical signals; brain function states; clinical EEG signals; clinical brain electrical activities; design; dynamic EEG signals; dynamic characteristics; filters; frequency characteristics; medical signals; nonstationarity; wavelet packet technique; wavelet packets decomposition; Brain; Electroencephalography; Filter bank; Frequency; Rhythm; Signal analysis; Signal processing; Transient analysis; Wavelet analysis; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on

Conference_Location

Pittsburgh, PA

Print_ISBN

0-7803-5073-1

Type

conf

DOI

10.1109/TFSA.1998.721367

Filename

721367