[基于非线性回归系数的脑电信号在精神疲劳状态下的幅度耦合分析]
[Amplitude coupling analysis of EEG using nonlinear regressive coefficients during mental fatigue].
作者信息
Liu Jian-Ping, Zheng Chong-Xun, Zhang Chong
机构信息
Department of Communication Engineering, The Engineering College of the Armed Police Force, Xi'an 710086.
出版信息
Zhongguo Yi Liao Qi Xie Za Zhi. 2009 Jul;33(4):259-61.
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.
计算不同脑皮层区域脑电图（EEG）节律针对长期认知任务导致的精神疲劳的非线性回归（NLR）系数，探寻不同精神疲劳水平下EEG节律NLR系数的变化。实验结果表明，EEG节律的NLR系数能够有效表征不同精神疲劳水平下不同脑皮层区域的幅度耦合变化。NLR系数为精神疲劳的EEG功能耦合分析提供了一个有力工具。
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