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Analysis of Electroencephalogram Based on Wavelet Spectrum and Wavelet Entropy
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作者 YOU Rong-yi 《Chinese Journal of Biomedical Engineering(English Edition)》 2011年第3期119-124,共6页
Based on discrete wavelet transform, both relative wavelet energy (RWE) and segment wavelet entropy (SWE) of electroencephalogram (EEG) are defined in this paper. The RWE provides quantitatively the information ... Based on discrete wavelet transform, both relative wavelet energy (RWE) and segment wavelet entropy (SWE) of electroencephalogram (EEG) are defined in this paper. The RWE provides quantitatively the information about the relative energy associated with different frequency bands present in the EEG. The SWE carries information about the degree of order or disorder associated with different time segment of EEG evolution, which can determine the time-segment loealizations of abnormal dynamic processes of brain activity due to the localization characteristics of the wavelet transform. The experimental results show that the RWE and SWE are different between epileptic EEGs and normal EEGs, which demonstrate that the RWE and the SWE are helpful to analyze the dynamic behavior of different EEGs. 展开更多
关键词 relative wavelet energy (RWE) wavelet spectrum segment waveletentropy (SWE)
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