摘要
本文讨论了相关维数、Lyapunov指数和复杂度等非线性动力学的分析方法,并对不同生理和病理状态下的EEG信号进行分析。结果表明,利用非线性动力学方法确能将脑的不同状态分开,为临床医学中脑疾病的诊疗提供重要的依据和手段。
This article discusses the nonlinear dynamics analysis methods of correlation dimension, Lyapunov exponent and complexity etc., and analyses the different physiological and pathological conditions of electroencephalograph（EEG） signal. The results show that it can be really separated the different states of the brain by using the nonlinear dynamics methods, and it provides an important basis and means to treatment of brain diseases in clinical medicine.
出处
《辽宁省交通高等专科学校学报》
2014年第6期11-13,共3页
Journal of Liaoning Provincial College of Communications
