[Amplitude coupling analysis of EEG using nonlinear regressive coefficients during mental fatigue]
Jian-Ping Liu1, Chong-Xun Zheng, Chong Zhang
1Department of Communication Engineering, The Engineering College of the Armed Police Force, Xi'an 710086.
Abstract:
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.


