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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 To analyze the difference between normal EEG and epileptic EEG from the point of view of nonlinear dynamics and propose a quantitative analysis of two different EEG signals using recursive quantitative analysis. Firstly, based on the principle of recursive graph, the symbolic dynamics method was used to improve the ranking of recursive graphs. Then the parameters of recurrence quantification analysis (RQA) were quantified to obtain the average diagonal length. Finally, 16 normal individuals The α-wave of EEG signals in patients with epilepsy was analyzed qualitatively by the qualitative method of rank-recursion to analyze the dynamic characteristics of different EEGs, and the parameters were quantified by recursive quantitative analysis. Results Epileptic patients ranked more regularly in the recursive graph of the EEG signals, indicating that the EEG signals of the epileptic patients were more certain. Conclusion The use of recursive quantitative parameters can be completed on the detection of epileptic EEG.