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HRV在管制员疲劳检测中的适用性

靳慧斌 张静 吕川

靳慧斌, 张静, 吕川等 . HRV在管制员疲劳检测中的适用性[J]. 北京航空航天大学学报, 2018, 44(11): 2292-2298. doi: 10.13700/j.bh.1001-5965.2018.0122
引用本文: 靳慧斌, 张静, 吕川等 . HRV在管制员疲劳检测中的适用性[J]. 北京航空航天大学学报, 2018, 44(11): 2292-2298. doi: 10.13700/j.bh.1001-5965.2018.0122
JIN Huibin, ZHANG Jing, LYU Chuanet al. Application of HRV in air traffic controllers' fatigue detection[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(11): 2292-2298. doi: 10.13700/j.bh.1001-5965.2018.0122(in Chinese)
Citation: JIN Huibin, ZHANG Jing, LYU Chuanet al. Application of HRV in air traffic controllers' fatigue detection[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(11): 2292-2298. doi: 10.13700/j.bh.1001-5965.2018.0122(in Chinese)

HRV在管制员疲劳检测中的适用性

doi: 10.13700/j.bh.1001-5965.2018.0122
基金项目: 

中国民用航空局安全能力建设资金 TMSA2017246-1/2

中央高校基本科研业务费专项资金 3122016F003

详细信息
    作者简介:

    靳慧斌  男, 博士, 副研究员。主要研究方向:航空人为因素与安全人机交互

    张静  女, 硕士研究生。主要研究方向:航空人为因素

    吕川  男, 硕士研究生。主要研究方向:航空人为因素

    通讯作者:

    靳慧斌, E-mail:airhf207@163.com

  • 中图分类号: X949;V19;V7

Application of HRV in air traffic controllers' fatigue detection

Funds: 

CAAC's Safety Capability Construction Fund TMSA2017246-1/2

the Fundamental Research Funds for the Central Universities 3122016F003

More Information
  • 摘要:

    为研究心率变异性(HRV)指标在管制员(ATC)疲劳检测中的适用性,搭建模拟管制实验平台,利用生理记录仪实时记录20名被试正常和疲劳状态下的心电(ECG)信号,并采集其主观疲劳度(卡罗林斯卡嗜睡量表)和操作绩效。利用偏相关分析选取与被试疲劳等级相关性高的心率变异性指标,并用于管制员疲劳检测的多元线性回归建模。分析结果表明:SDNN与被试的疲劳状态无相关性;LFnorm和HFnorm与疲劳程度呈弱相关;RR间期均值、LF/HF均与被试的疲劳度存在较强的相关性,二者结合建立的多元线性回归模型,拟合优度大于0.5,RR间期均值和LF/HF可作为检测管制员疲劳的有效指标。本文研究成果可为未来的管制员疲劳实时检测提供科学依据和实验支撑。

     

  • 图 1  实验用模拟管制系统

    Figure 1.  Experimental simulation air traffic control system

    图 2  实验被试主观疲劳度与管制操作累计绩效分值

    Figure 2.  Experimental subjects' subjective fatigue degree and ATCs' operation cumulative performance score

    图 3  滤波前后心电信号FFT频谱对比

    Figure 3.  FFT spectra comparison of ECG signal before and after filtering

    图 4  不同状态组RR间期与SDNN均值变化对比

    Figure 4.  Comparison of RR interval and SDNN mean in different status groups

    图 5  不同状态组LFnorm、HFnorm和LF/HF均值变化对比

    Figure 5.  Comparison of LFnorm, HFnorm and LF/HF mean in different status groups

    图 6  心电信号功率谱分布

    Figure 6.  ECG signal power spectrum distribution

    图 7  正常组残差

    Figure 7.  Normal group residuals

    图 8  疲劳组残差

    Figure 8.  Fatigue group residuals

    表  1  HRV指标

    Table  1.   HRV index

    名称 定义 公式 单位
    时域指标 RR RR间期均值 s
    SDNN RR间期标准差 s
    频域指标 LFnorm 低频功率标化指标 LFnorm=100LF/(总功率-VLF)
    HFnorm 高频功率标化指标 HFnorm=100HF/(总功率-VLF)
    LF/HF 低频与高频功率比
    下载: 导出CSV

    表  2  基于KSS量表与操作绩效的管制员疲劳等级划分

    Table  2.   ATCs' fatigue classification based on KSS questionnaire and operational performance

    疲劳等级 KSS等级 绩效扣分/(分·min-1) 外在表现
    1级 1、2 12 清醒
    2级 3、4 20 基本清醒
    3级 5、6 36 出现疲劳表征
    4级 7、8 51 因疲劳出现失误
    5级 9 ≥51 非常疲劳
    下载: 导出CSV

    表  3  HRV指标与疲劳等级的偏相关分析系数绝对值

    Table  3.   Absolute value of partial correlation analysis coefficient of HRV index and fatigue grade

    组别 RR SDNN LFnorm HFnorm LF/HF
    正常组 0.73 0.472 5 0.46 0.46 0.73
    疲劳组 0.77 0.508 0.47 0.47 0.67
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-03-09
  • 录用日期:  2018-04-20
  • 网络出版日期:  2018-11-20

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