摘要
脑电信号(EEG)的α波在人体的疲劳评估中具有重要作用,通过脑电信号的α波,可以挖掘更多的有关人体疲劳的信息.利用非线性动力学的方法对EEG信号α波进行了研究,比较了疲劳与非疲劳EEG信号α波之间的非线性动力学上的差别.人在疲劳与非疲劳下的EEG信号α波最大李雅普诺夫指数是不同的,当出现疲劳时指数减少,因此李雅普诺夫指数可作为人体是否疲劳状态的特征刻画指标.文中非疲劳状态的最大李雅普诺夫指数为0.436 67,疲劳状态者的最大李雅普诺夫指数是0.335 57,它们均为混沌信号,但是处于疲劳状态节律的混沌程度明显比处于非疲劳状态的混沌程度低.
In this paper nonlinear dynamics methods is used to analyse the α wave of EEG signals of people under fatigue state or non-fatigue state, and compare the difference between them. The results shows that the Largest Lyapunov Exponent of people under the non-fatigue state is different from that of under fatigue state. The Largest Lyapunov Exponent of people under nonfatigue state is 0. 436 67. When people situate in fatigue state, the value reduces. The Largest Lyapunov Exponent of the people under fatigue state is 0. 335 57. They are both chaotic system. Besides, the level of the chaos under the fatigue state is lower than that of non-fatigue person.
出处
《江南大学学报（自然科学版）》
CAS
2006年第5期627-630,共4页
Joural of Jiangnan University (Natural Science Edition)
基金
国家自然科学基金项目(10402008)
