基于非线性回归系数的中枢疲劳脑电的幅度耦合分析

Amplitude Coupling Analysis of EEG Using Nonlinear Regressive Coefficients during Mental Fatigue

本文通过对连续长时间脑力劳动前后状态下的脑电节律进行幅度耦合分析,提取了非线性回归系数,研究它们在不同中枢疲劳状态下的变化规律。实验结果表明,非线性回归系数能有效地反映出导联间幅度耦合同步程度随中枢疲劳程度的变化情况。为中枢疲劳脑电幅度耦合分析提供了有力工具。

Computing the Nonlinear regressive （NLR） coefficients of electroencephalogram （EEG） rhythms at different brain cortical areas for the mental fatigue caused by long term cognitive task, the variations of NLR coefficients of EEG rhythms under different mental fatigue level are sought out. The experimental results show that the NLR coefficients of EEG rhythms can effectively characterize the changes of amplitude coupling at different brain cortical areas under different mental fatigue level. The NLR coefficient provides a powerful tool for the EEG functional coupling analysis of mental fatigue.