Advanced Search
Volume 42 Issue 7
Jul.  2016
Turn off MathJax
Article Contents
Abstract
References
Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(7): 1406-1413.
Li Xiaojuan, Zhao Wei. Image fusion algorithm based on multiscale edges[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(02): 229-232. (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)
shu

Mental fatigue characteristics based on EEG analysis

doi: 10.13700/j.bh.1001-5965.2015.0428
  • 1.

    School of Biology and Medical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Beijing Special Vehicle Research Institute, Beijing 100072, China

  • Received Date: 26 Jun 2015
  • Publish Date: 20 Jul 2016
    Abstract
  • By simulating the process of pilots monitoring instrument information during flight,the change characteristics of electroencephalogram (EEG) waves along with mental fatigue were analyzed,which will provide scientific bases for future development of countermeasure to fatigue.Two visual detection tasks of different difficulties were designed to induce fatigue respectively,and many measurements were combined to study the EEG characteristics of fatigue.The EEG parameters [δ,θ,α,β,(α+θ)/β,α/β,(α+θ)/(α+β),θ/β] at the beginning and end sections of the task were compared and analyzed.The results show that there is a significant increase in α activity in the frontal,central,parietal and occipital lobes(P < 0.05),and a decrease in the β activity in the pre-frontal,inferior frontal,posterior temporal and occipital lobes(P < 0.05); there is no significant difference in δ rhythm and θ rhythm in any brain region(all in P > 0.05); The four formulas increase significantly in all brain regions except the temporal(P < 0.05),where only α/β changes clearly(P < 0.05); compared with the task with higher difficulty,the parameters in the task of lower difficulty change more obviously.Therefore,all these characteristic parameters in specific brain regions except for δ and θ can be considered as possible indicators for mental fatigue.It was also verified that adding right amount of task difficulty could counter mental fatigue.

     

    • FullText(HTML)
    • References(21)
  • [1]
    张佳丽,李靖,蒙果,等.飞行员在模拟飞行训练中脑力疲劳的脑电图研究[J].中国应用生理学杂志,2013,29(3):267-270. ZHANG J L,LI J,MENG G,et al.Study on fatigue of pilots during simulated flight training based on electroencephalogram[J].Chinese Journal of Applied Physiology,2013,29(3):267-270(in Chinese).
    [2]
    HOPSTAKEN J F,LINDEN D,BAKKER A B,et al. Amultifaceted investigation of the link between mental fatigue and task disengagement[J].Psychophysiology,2015,52(3):305-315.
    [3]
    MURATA A,UETAKE A,TAKASAWA Y.Evaluation of mental fatigue using feature parameter extracted from event-related potential[J].International Journal of Industrial Ergonomics,2005,35(8):761-770.
    [4]
    LI H,SEO J,KHAM K,et al.Method of measuring subjective 3D visual fatigue:A five-factor model[C]//Digital Holography and Three-Dimensional Imaging.[S.l.:s.n.],2008:44-50.
    [5]
    HODDES E,ZARCONE V,SMYTHE H,et al.Quantification of sleepiness:A new approach[J].Psychophysiology,1973,10(4):431-436.
    [6]
    KAR S,BHAGAT M,ROUTRAY A.EEG signal analysis for the assessment and quantification of driver's fatigue[J].Transportation Research Part F:Traffic Psychology and Behavior,2010,13(5):297-306.
    [7]
    SCHMIDT E A,SCHRAUF M,SIMON M,et al.Drivers' misjudgment of vigilance state during prolonged monotonous daytime driving[J].Accident Analysis and Prevention,2009,41(5):1087-1093.
    [8]
    HOWARD M E,JACKSON M L,BERLOWITZ D,et al.Specific sleepiness symptoms are indicators of performance impairment during sleep deprivation[J].Accident Analysis and Prevention,2014,62:1-8.
    [9]
    LAL S,CRAG A,BOORD P,et al.Development of an algorithm for EEG-based drive fatigue countermeasure[J].Journal of Safety Research,2003,34(3):321-328.
    [10]
    GALE A,DAVIES R,SMALLBONE A.EEG correlates of signal rate,time in task and individual differences in reaction time during a five-stage sustained attention task[J].Ergonomics,1977,20(4):363-376.
    [11]
    PHIPPS-NELSON J,REDMAN J,RAJARATNAM S.Temporal profile of prolonged,night-time driving performance:Breaks from driving temporarily reduce time-on-task fatigue but not sleepiness[J].Journal of Sleep Research,2011,20(3):404-415.
    [12]
    ZHAO C,ZHAO M,LIU J,et al.Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator[J].Accident Analysis and Prevention,2012,45:83-90.
    [13]
    DE WAARD D,BROOKHUIS K.Assessing driver status:A demonstration experiment on the road [J].Accident Analysis and Prevention,1991,23(4):297-307.
    [14]
    JAP B,LAL S,FISCHER P,et al.Using EEG spectral components to assess algorithms for detecting fatigue[J].Expert Systems with Applications,2009,36(2):2352-2359.
    [15]
    LAL S,CRAIG A.Driver fatigue:Electroencephalography and psychological assessment[J].Psychophysiology,2002,39(3):313-321.
    [16]
    SCHIER M A.Changes in EEG alpha power during simulated driving:Ademonstration[J].International Journal of Psychophysiological,2000,37(2):155-162.
    [17]
    WILSON G,SWAIN C,ULLSPERGER P.EEG power changes during a multiple level memory retention task[J].International Journal of Psychophysiology,1999,32(2):107-118.
    [18]
    BELYAVIN A,WRIGHT N.Changes in electrical activity of the brain with vigilance[J].Electroencephalography and Clinical Neurophysiology,1987,66(2):137-144.
    [19]
    TORSVALL L,AKERSTEDT T.Sleepiness on the job:Continuously measured EEG changes in train drivers[J].Electroencephalography and Clinical Neurophysiology,1987,66(6):502-511.
    [20]
    EOH H,CHUNG M,KIM S.Electroencephalographic study of drowsiness in simulated driving with sleep deprivation[J].International Journal of Industrial Ergonomics,2005,35(4):307-320.
    [21]
    曾庆新,庄达民,马银香.脑力负荷与目标辨认[J].航空学报,2007,28(Supl.):76-80. ZENG Q X,ZHUANG D M,MA Y X.Mental workload and target identification[J].Acta Aeronautic et Astronautica Sinica,2007,28(Supl.):76-80(in Chinese).
    • Relative Articles

  • Relative Articles

    [1]CAO Ziyu, YANG Jianhua. Nonlinear Optimization-based Online Temporal Calibration of Stereo Camera and IMU in Stereo Visual-Inertial Odometry[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0374
    [2]ZHANG Luyihang, YANG Yanming, CHEN Yongzhan, LI Junliang, DAI Haomin. Remaining Useful Life life prediction of variable-operating turbofan engine based on VMD-CNN-BiLSTM[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2021.0051
    [3]ZHAO H L，BAI L D. Remaining life prediction of engine by improved similarity with interval partition[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（10）：3005-3012 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0762.
    [4]LIU Y H，HUANG Y，TAN H，et al. On-line prediction method of wing flexible baseline based on autoregressive model[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（11）：3426-3433 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0865.
    [5]YANG J X，TANG S J，LI L，et al. Remaining useful life prediction based on implicit nonlinear Wiener degradation process[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（1）：328-340 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0243.
    [6]YAN X P，AN T，HAO X H，et al. Design of pseudo-code phase modulation and LFM composite fuze interference based on Duffing oscillator[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（11）：3338-3347 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0843.
    [7]ZHOU Zi-yan, LI Qiao, SHI Qi-dong. A heuristic constraint conversion scheduling method for time-triggered flows in TSN[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0585
    [8]SHI C P，HE H F，HE Y M，et al. Joint estimation of DOA and polarization parameters based on uniform circle array with vector sensor[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（4）：1325-1335 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0390.
    [9]BI Y P，ZHANG T，HE Y T，et al. Corrosion and fatigue life prediction of aircraft typical lap structures based on life envelope[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（8）：2200-2206 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0604.
    [10]WANG K，GUO Y Q，ZHAO W L，et al. Remaining useful life prediction of aeroengine based on SSAE and similarity matching[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（10）：2817-2825 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0741.
    [11]LI J X，DING H B，WANG C，et al. A new overreading model for wet gas vortex metering considering entrained droplet flow parameters[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（4）：815-824 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0364.
    [12]LEI J Y，LEI Q N，LI H B，et al. A mesh parameterization method and life reliability-based optimization for turbine blade[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（10）：2651-2659 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0708.
    [13]WU Y T，LU Z，SONG H J，et al. Operation risk assessment of civil aircraft for multiple wear-out failure modes[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（10）：2807-2816 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0739.
    [14]ZHAO Yu-yu, SUO Chao, WANG Yu-xiao. BSVAR-based remaining useful life prediction for aircraft engines[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0643
    [15]ZHOU Z T，LIU L，SONG X，et al. Remaining useful life prediction method of rolling bearing based on Transformer model[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（2）：430-443 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0247.
    [16]LIN Y H，LI C B. Multidimensional degradation data generation method based on variational autoencoder[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（10）：2617-2627 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0760.
    [17]WANG F F，TANG S J，SUN X Y，et al. Remaining useful life prediction based on multi source information with considering random effects[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（11）：3075-3085 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0782.
    [18]LIU Qianqian, LIU Yushan, WEN Yeting, HE Jie, LI Xiao, BI Daqiang. Short-term load forecasting method based on PCC-LSTM model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(12): 2529-2536. doi: 10.13700/j.bh.1001-5965.2021.0145
    [19]WANG Shaoping, CHEN Rentong, ZHANG Chao. Reliability estimation for aircraft hydraulic pump based on bivariate performance degradation analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(9): 1613-1623. doi: 10.13700/j.bh.1001-5965.2022.0297
    [20]FENG Jianguang, ZHENG Zixia, LONG Dongteng, ZHOU Bo, LU Mingquan, ZHENG Heng. Method for predicting on-orbit residual life of satellite atomic clock[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2215-2221. doi: 10.13700/j.bh.1001-5965.2021.0087
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views(1222) PDF downloads(688) Cited by()
    Proportional views
    Related

    Copyright © Journal of Beijing University of Aeronautics and Astronautics

    Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return