HRV在管制员疲劳检测中的适用性

靳慧斌; 张静; 吕川

doi:10.13700/j.bh.1001-5965.2018.0122

HRV在管制员疲劳检测中的适用性

doi: 10.13700/j.bh.1001-5965.2018.0122

靳慧斌^1, ,,
张静²,
吕川³

1.
中国民航大学通用航空学院, 天津 300300
2.
中国民航大学国家空管运行安全技术重点实验室, 天津 300300
3.
中国民航大学中欧航空工程师学院, 天津 300300

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
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- 被引次数: 0
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

Application of HRV in air traffic controllers' fatigue detection

1.
General Aviation College, Civil Aviation University of China, Tianjin 300300, China
2.
National Key Laboratory of Air Traffic Operation Safety Technology, Civil Aviation University of China, Tianjin 300300, China
3.
Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China

Funds:

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

the Fundamental Research Funds for the Central Universities 3122016F003

More Information

Corresponding author: JIN Huibin, E-mail:airhf207@163.com

摘要

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。
- 疲劳检测 /
- 偏相关分析 /
- 适用性 /
- 心率变异性(HRV) /
- 多元线性回归
Abstract:
In order to study the application of heart rate variability (HRV) indexes in the fatigue detection of the air traffic controllers (ATC), the simulation control experiment platform was set up, the real-time physiological recorder was used to record the electrocardiogram (ECG) signals of 20 subjects in real time under normal and fatigue conditions, and their subjective fatigue (Karolinsaka sleepingness scale) and operational performance were collected. The HRV index with high correlation with fatigue grade was selected by partial correlation analysis and used to model the multivariate linear regression model for fatigue detection. The analysis results show that there is no correlation between the SDNN and the fatigue status of the subjects; LFnorm and HFnorm are weakly correlated with the fatigue; RR interval and LF/HF have a strong correlation with the fatigue degree of the controlled subjects; The multivariate linear regression model, the goodness of fit is greater than 0.5, RR interval and LF/HF can be used as valid indicators of controller fatigue detection. This study can provide scientific evidence and experimental support for the future real-time detection of controller fatigue.
- fatigue detection /
- partial correlation analysis /
- application /
- heart rate variability (HRV) /
- multivariate linear regression

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图 1 实验用模拟管制系统

Figure 1. Experimental simulation air traffic control system

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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

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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

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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

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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

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图 6 心电信号功率谱分布

Figure 6. ECG signal power spectrum distribution

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图 7 正常组残差

Figure 7. Normal group residuals

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图 8 疲劳组残差

Figure 8. Fatigue group residuals

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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
时域指标	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

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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

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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

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