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为了进一步探索应用非线性动力学理论对癫痫脑电信息进行分析。在采用非线性动力学指标:近似熵和相关维对大鼠癫痫发作过程的整个脑电信号进行分析研究的基础上,运用新的用于神经元系统的复杂性行为研究的非线性动力学方法——不稳定周期轨道,分析研究癫痫不同发作时期脑电信号的变化规律。结果显示癫痫发作时,脑电信号中存在具有统计显著性的周期1和周期2轨道,而在癫痫发作前期仅存在具有统计显著性的周期1轨道。从而进一步验证了癫痫发作整个过程,脑电信号复杂度的变化规律。
In order to further explore the application of nonlinear dynamics theory of epilepsy EEG information analysis. Based on the analysis and analysis of the whole EEG signals during the process of seizure in rats using nonlinear kinetic indicators: approximate entropy and correlation dimension, a new nonlinear dynamics method - Unstable periodic orbit, analysis of epileptic seizures in different periods of EEG changes. The results showed that there were statistically significant Period 1 and Period 2 orbits in epileptic seizures, while there was only a statistically significant Period 1 orbit in the pre-seizure. Which further verified the whole process of seizures, EEG signal complexity changes.