HAI实验中EEG信号的非线性动力学研究

Nonlinear Dynamic Research on EEG in HAI Experiment

采用一维时间序列相空间重构技术和混沌的定量判据,对缺氧窒息而引起的中枢神经损伤(HypoxicAsphyxicInjury,HAI)实验中仔猪的脑电(Electroencephalogram,EEG)信号进行了分析与计算。通过对生理和损伤状态下仔猪EEG信号的相图、功率谱、关联维数和Lyapunov指数的对比研究,得出如下结论:(1)EEG的相图、功率谱、关联维数和Lyapunov指数反映了大脑的总体动态特征,它们可作为一种定量研究EEG的新方法进行脑损伤的早期诊断;(2)在正常的生理状态下EEG是混沌的,而在损伤状态下则趋于有序。

By using phase space reconstruct technique from a time series and chaotic quantitative criterions, the author analyses and calculate EEG （Electroencephalogram） signals of piglets in the HAl （Hypoxic-Asphyxic Injury） experiments, which leads to the injury of central nervous system. Through comparative research with the analyses of phase plot, the power spectra, the computation of the correlation dimension and the Lyapunov exponent to physiology and injury EEG signals of piglets, the following conclusions are shown ： （ 1 ） Phase plot, power spectra, correlation dimension and Lyapunov exponent of the EEG signals reflect the whole dynamic characteristics of the brains, and they may become a new method of researching EEG quantitatively to early diagnose of brain disease. （2）Under normal physiological conditions, the EEG signals are chaotic, while under injury conditions the signals approach regularity.