关键词: 脑电, 双谱, 驾驶疲劳, 疲劳时间, 疲劳特性

Abstract: The bispectrum was used to analyze the electroencephalography (EEG) of drivers in the process of driving based on the fact that bispectrum is suitable for the signals of EEG that possess non-Gaussian and nonlinear properties. The two-hour signals were divided into six sections at a certain time interval, which were analyzed by using the AutoRegressive （AR） parameter model method to estimate bispectrum. The results show the bispectrum of EEG are very different at different times, so bispectrum can be used for the detection of driving fatigue.

Key words: EEG, bispectrum, driving fatigue, fatigue time, fatigue characteristics