Multiscale permutation entropy analysis of electroencephalogram

被引：39

作者：

Yao Wen-Po ^{[1
]}

Liu Tie-Bing ^{[1
]}

Dai Jia-Fei ^{[1
]}

Wang Jun ^{[2
]}

机构：

[1] Nanjing Mil Command, Nanjing Gen Hosp, Nanjing 210002, Jiangsu, Peoples R China

[2] Nanjing Univ Posts & Telecomm, Image Proc & Image Commun Key Lab, Nanjing 210003, Jiangsu, Peoples R China

来源：

ACTA PHYSICA SINICA | 2014年 / 63卷 / 07期

基金：

中国国家自然科学基金;

关键词：

multiscale permutation entropy; nonlinear analysis; EEG; epileptic; LEAGUE-AGAINST-EPILEPSY; WAVELET TRANSFORM; SEIZURES;

D O I：

10.7498/aps.63.078704

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We carried out a detailed analysis and a comparison between normal and epileptic electroencephalogram ( EEG) based on multiscale permutation entropy. The relationship between multiscale permutation entropy values of EEG and age, and the effect of scale factor on multiscale permutation entropy value were also discussed. By analyzing normal and epileptic EEG based on multiscale permutation entropy, we found that, at the same age, multiscale permutation entropy value of the normal group's EEG is higher than that of the epileptic group by an average of 0.19, about 7.9%. In addition, for people of age 3 to 35, their multiscale permutation entropies are clearly maximum. When scale factor is smaller than 15, the value of their entropy would reduce no matter whether the age increases or decreases. The results indicate that multiscale permutation entropy can distinguish between normal and epileptic EEG and reflect the general process of human brain development.

引用

页数：7

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