Wavelet Variance Analysis of EEG Based on Window Function

2014中国生物医学工程学报：英文版Neuroscience被引 5

摘要

A new wavelet variance analysis method based on window function is proposed to investigate the dynamical features of electroencephalogram(EEG).The exprienmental results show that the wavelet energy of epileptic EEGs are more discrete than normal EEGs, and the variation of wavelet variance is different between epileptic and normal EEGs with the increase of time-window width. Furthermore, it is found that the wavelet subband entropy (WSE) of the epileptic EEGs are lower than the normal EEGs.

引用本文（GB/T 7714）

Zheng Zheng, Yuan-zhuang, You You, 等. Wavelet Variance Analysis of EEG Based on Window Function[J]. 中国生物医学工程学报：英文版, 2014.

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