Application of HRV in air traffic controllers' fatigue detection

被引：0

作者：

Jin H. ^{[1
]}

Zhang J. ^{[2
]}

Lyu C. ^{[3
]}

机构：

[1] General Aviation College, Civil Aviation University of China, Tianjin

[2] National Key Laboratory of Air Traffic Operation Safety Technology, Civil Aviation University of China, Tianjin

[3] Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin

来源：

Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2018年 / 44卷 / 11期

关键词：

Application; Fatigue detection; Heart rate variability (HRV); Multivariate linear regression; Partial correlation analysis;

D O I：

10.13700/j.bh.1001-5965.2018.0122

中图分类号：

学科分类号：

摘要：

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. © 2018, Editorial Board of JBUAA. All right reserved.

引用

页码：2292 / 2298

页数：6

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