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基于EEG的脑力疲劳特征研究

范晓丽 牛海燕 周前祥 柳忠起

范晓丽, 牛海燕, 周前祥, 等 . 基于EEG的脑力疲劳特征研究[J]. 北京航空航天大学学报, 2016, 42(7): 1406-1413. doi: 10.13700/j.bh.1001-5965.2015.0428
引用本文: 范晓丽, 牛海燕, 周前祥, 等 . 基于EEG的脑力疲劳特征研究[J]. 北京航空航天大学学报, 2016, 42(7): 1406-1413. doi: 10.13700/j.bh.1001-5965.2015.0428
FAN Xiaoli, NIU Haiyan, ZHOU Qianxiang, et al. Mental fatigue characteristics based on EEG analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1406-1413. doi: 10.13700/j.bh.1001-5965.2015.0428(in Chinese)
Citation: FAN Xiaoli, NIU Haiyan, ZHOU Qianxiang, et al. Mental fatigue characteristics based on EEG analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1406-1413. doi: 10.13700/j.bh.1001-5965.2015.0428(in Chinese)

基于EEG的脑力疲劳特征研究

doi: 10.13700/j.bh.1001-5965.2015.0428
基金项目: 国家自然科学基金(31170895);国防预研基金(A0920132003);中国航天员中心人因工程重点实验室开放课题(HF2013-K-06)
详细信息
    作者简介:

    范晓丽 女,博士研究生。主要研究方向:航空航天人因工程。Tel.: 18810152142 E-mail: fanfan19851414@163.com;周前祥 男,博士,教授,博士生导师。主要研究方向:航空航天人因工程。Tel.: 010-82338696 E-mail: zqxg@buaa.edu.cn

    通讯作者:

    周前祥,Tel.: 010-82338696 E-mail: zqxg@buaa.edu.cn

  • 中图分类号: TB18;B842.1

Mental fatigue characteristics based on EEG analysis

  • 摘要: 模拟飞行员在飞行过程中监视仪表信息的过程,分析脑电(EEG)随脑力疲劳变化的特点及规律,从而为后期对抗脑力疲劳提供科学根据。通过设计2级不同难度的视觉监控任务分别诱发脑力疲劳,采用多种方法相结合进行研究,比较EEG参数(δ、θ、α、β、(α+θ)/βα/β、(α+θ)/(α+β)和 θ/β)在任务前后的变化情况。结果表明:从正常到疲劳状态,额区、中央区、顶区和枕区的α波相对能量显著增加(P < 0.05);前额区、侧额区、后颞区以及枕区的β波相对能量显著降低(P < 0.05);δ波和θ波相对能量变化未达到显著性差异(均有P > 0.05);参数(α+θ)/βα/β、(α+θ)/(α+β)和θ/β在除颞区外的各脑区都显著增大(P < 0.05);在颞区,只有α/β在疲劳前后增加明显(P < 0.05);与较高难度的任务比较,低难度任务中的各EEG参数变化较为明显。因此,除δ波和θ波以外的其他特征参数被证实在特定的脑区域可以作为衡量脑力疲劳的潜在指标,同时可以验证适当地增加任务难度可以在某种程度上对抗脑力疲劳的产生。

     

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出版历程
  • 收稿日期:  2015-06-26
  • 刊出日期:  2016-07-20

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