北京生物医学工程

基于递归定量分析的癫脑电研究

Detection of epileptic EEG based on recurrence quantification analysis

作者：闫祥涛冯思源侯凤贞戴加飞王俊

单位：南京邮电大学图像处理与图像通信江苏省实验室(南京210003)

分类号：R318.04

出版年·卷·期（页码）：2016·35·6（604-608）

摘要：

目的从非线性动力学的角度出发来分析正常脑电EEG与癫脑电的区别，提出利用递归定量分析方法对两种不同脑电信号进行定量分析。方法首先在递归图原理基础上，利用符号动力学方法改进为排序递归图；然后利用递归定量分析方法（recurrence quantification analysis, RQA）量化参数——平均对角线长度；最后分别对16组正常人与癫患者的脑电信号的α波用排序递归图定性法分析不同脑电的动力特性，再用递归定量分析来量化参数。结果癫患者的脑电信号的排序递归图规律性更强，表示癫患者的脑电信号确定性更强。结论利用递归定量参数可以完成对癫脑电的检测。

Objective We introduce a method to analyze the difference between the normal EEG and epileptic EEG from the perspective of nonlinear dynamics. Methods First, the recurrence plot is introduced, and we derive the order recurrence plot (ORP) by symbolic dynamics. Then we introduce recurrence quantification analysis (RQA) and quantifiable parameter: average diagonal length. Finally, the different dynamic characteristics of α wave of 16 normal subjects and patients with epileptic EEG are respectively qualitative analyzed by order recurrence plot and we get the parameter by RQA. Results Order recurrence plot of epileptic EEG is more regular, which means the certainty of epileptic EEG is greater. Conclusions Recursion quantitative parameters can be used to detect epileptic EEG.

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