利用排列小波熵评价脑电信号中的爆发抑制水平  

Use of permutation wavelet entropy to evaluate EEG burst suppression

作　　者：袁思念 但果 叶继伦 张旭 牛航舵 马胜才 李若薇 朱子孚 YUAN Sinian;DAN Guo;YE Jilun;ZHANG Xu;NIU Hangduo;MA Shengcai;LI Ruowei;ZHU Zifu(Department of Biomedical Engineering,School of Medicine,Shenzhen University,Shenzhen 518060,China;Shenzhen Key Laboratory for Biomedical Engineering,Shenzhen 518060,China;Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging,Shenzhen 518060,China)

机构地区：[1]深圳大学医学部生物医学工程系,广东深圳518060 [2]深圳市生物医学工程重点实验室,广东深圳518060 [3]广东省生物医学信号检测与超声成像重点实验室,广东深圳518060

出　　处：《中国医学物理学杂志》2022年第8期1010-1014,共5页Chinese Journal of Medical Physics

基　　金：深圳市科创委重大产业攻关项目(JSGG20190222175027859,JSGG20210713091811038)。

摘　　要：为了评价脑电信号的爆发抑制水平,本文从非线性动力学的角度出发,通过计算脑电信号的排列熵,再计算排列熵的小波熵,得到一种新的参数排列小波熵(PEWE)于量化脑电信号的爆发抑制水平。结果表明,在4例数据的测试中,PEWE与双谱指数模块输出的爆发抑制比指数的相关系数达0.9425,因此,PEWE可以作为一种新参数来量化EEG信号的爆发抑制水平,为评价EEG信号的爆发抑制水平提供了新思路。From the perspective of nonlinear dynamics,the permutation entropy of electroencephalogram(EEG)signal is calculated,and then the wavelet entropy of the obtained permutation entropyis calculated to obtain a new parameter,namely permutation wavelet entropy(PEWE),for quantifying the burst suppression level of EEG signal.The results show that in the test of 4 cases of data,the correlation coefficient between PEWE and SR index output by the BIS module is 0.9425,indicating that PEWE can be used as a measure to quantify the burst suppression level of EEG signal,which provides a new idea to evaluate EEG burst suppression.

关 键 词：脑电信号 爆发抑制水平 排列熵 小波熵 

分 类 号：R318[医药卫生—生物医学工程]