基于脑电近似熵的脑机能疲劳状态分析

目的研究工作和睡眠剥夺对脑机能疲劳（脑疲劳）状态的影响，探讨脑电近似熵与不同脑疲劳状态之间的关系，寻找实用的脑疲劳程度分析指标。方法对不同人在不同脑机能状态下的脑电近似熵进行计算，分析不同脑疲劳状态下的变化规律及其相关性。结果对于不同的脑疲劳状态，其脑电近似熵的平均值随着脑疲劳程度的增加而降低；工作时间的延长、紧张程度的增加对脑疲劳的影响比单纯睡眠剥夺对脑疲劳的影响要大，引起脑疲劳的加深程度要快。结论脑电近似熵随着脑疲劳程度的增加而降低，有望成为衡量脑疲劳程度的指标。

Analysis of Mental Fatigue Based on Approximate Entropy of EEG

Objective To explore the influences of work and sleep deprivation on mental fatigue; To investigate the relationship between Approximate Entropy (ApEn) of Electroencephalogram (EEG) and mental fatigue by analyzing ApEn of EEG under different mental fatigue status and to find a feasible index for analyzing the mental fatigue level. Method ApEns of EEG are analyzed under different levels of mental fatigue to explore the rule of variation and relationship with mental fatigue level. Result Average ApEn reduced with the increase of mental fatigue level. The prolonged time and increased intensity of work have a greater effect on mental fatigue than that of simple sleep deprivation. Conclusion It is feasible to analyze mental fatigue by ApEn of EEG, which reduces with the increase of mental fatigue level. ApEn of EEG is expected to serve as the index for detecting mental fatigue level.