EEG Multiresolution Analysis Using Wavelet Transform
SHANDONG UNIV JINAN (CHINA) DEPT OF ELECTRICAL ENGINEERING
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Wavelet transform WT is a new multiresolution time-frequency analysis method. WT possesses well localization feature both in tine and frequency domains. it acts as a group of band-pass filters to decompose mixed signal into signals at different frequency bands. EEG as a noninvasive testing method plays a key role in the diagnosing diseases and is useful for both physiological research and medical applications. Using the dyadic wavelet transform the EEG signals are successfully decomposed to the alpha rhythm 8-13Hz beta rhythm 14-30Hz theta rhythm 4-7Hz and delta rhythm 0.3-3Hz and the EMG trembles in EEG are effectively removed while the useful information of EEG are well reserved so as to improve SNR. The experiment results are given in the end of the paper.
- Anatomy and Physiology
- Numerical Mathematics