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目的研究连续数学运算对脑力疲劳的影响,探讨脑电的功率谱特征与脑力疲劳之间的关系,寻找脑力疲劳程度评价的客观指标。方法对连续数学运算前后以及休息后3种状态下脑电的功率谱重心频率以及功率谱熵进行了分析,并采用主观评价和行为学方法对3种状态进行对照分析。结果连续数学运算后脑电功率谱重心频率以及功率谱熵显著降低,主观感觉疲劳程度、数学运算及PVT测试的平均反应时间显著增加;休息后脑电功率谱特征、主观感觉疲劳程度及反应时间的变化规律相反。结论脑电功率谱重心频率以及功率谱熵与脑力疲劳有较强的相关性,随着脑力疲劳程度的增加,脑电功率谱重心频率以及功率谱熵降低。同时脑电功率谱特征与主观评价和行为学分析结果有较强的一致性,有望成为衡量脑力疲劳程度的客观指标。
Abstract：Objective To investigate the relationship between mental fatigue and power spectrum features of electroencephalogram(EEG)in order to find feasible objective indexes for analyzing mental fatigue level.Methods Gravity frequency and power spectral entropy of EEG were extracted to analyze state of mental fatigue at three epoches:BT before continuous mental arithmetic task,AT immediately after continuous mental arithmetic task,and REST 60 min after task.For comparison,subjective measurements and behavior analyses were made to evaluate mental fatigue state at the three epoches.Results The gravity frequency and power spectral entropy of EEG decreased,the scale of subjective perceived fatigue and mean response times(RT)of mental arithmetic task and psychomotor vigilance test increased at AT as compared with that at BT,while gravity frequency and power spectral entropy of EEG increase after rest,the scale of subjective perceived fatigue and the mean RT decreased as compared with that at AT.Conclusion Gravity frequency and power spectral entropy of EEG are strongly correlated with mental fatigue level.They decrease as the mental fatigue level increases.Meanwhile the results of gravity frequency and power spectral entropy analysis of EEG are consistent with that of subjective measurements and behavior analyses.Gravity frequency and power spectral entropy of EEG are expected to serve as the index for detecting mental fatigue level.
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基本信息:
DOI：10.16289/j.cnki.1002-0837.2008.01.014
中图分类号:R318.04
引用信息:
[1]张崇,郑崇勋,欧阳轶等.基于脑电功率谱特征的脑力疲劳分析[J].航天医学与医学工程,2008(01):35-39.DOI:10.16289/j.cnki.1002-0837.2008.01.014.
基金信息:
国家自然科学基金资助(30670534)