| 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)
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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.
| [1] |
WARDS T, GABETS C, MERCER J, et al.Task demand variation in air traffic control: Implications for workload, fatigue, and performance[M]//STANTON N A.Advances in human aspects of transportation.Berlin: Springer, 2017: 91-102.
|
| [2] |
MITLER M M, CARSKADON M A, CZEISLER C A, et al.Catastrophes, sleep, and public policy:Consensus report[J].Sleep, 1988, 11(1):100-109. doi: 10.1093/sleep/11.1.100
|
| [3] |
WILLIAMSON A, LOMBARDI D A, FOLKARD S, et al.The link between fatigue and safety[J].Accident Analysis & Prevention, 2011, 43(2):498-515. http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_e92c8461eb5f4e1f74605fc31b58edbf
|
| [4] |
MELTON C E, MCKENZIE J M, SMITH R C, et al.Physiological, biochemical, and psychological responses in air traffic control personnel: Comparison of the 5-day and 2-2-1 shift rotation patterns[R].Washington, D.C.: Federal Aviation Administration, 1973.
|
| [5] |
ESCALONA E, DE UROSA E, GONZÁLEZ R, et al.Fatigalaboralencontroladores de tránsitoaéreo[J].Saludtrab.(Maracay), 1996, 4(2):99-108.
|
| [6] |
International Civil Aviation Organization.Air traffic services: Annex 11 to international convention on civil aviation, 13th Edition[S].Montréal: International Civil Aviation Organization, 2001.
|
| [7] |
YUAN L P, MA G F, SUN R S.An analysis of fatigue and its characteristics: A survey on chinese air traffic controller[M]//HARRIS D.Engineering psychology and cognitive ergonomics.Berlin: Springer, 2016: 38-47.
|
| [8] |
DIMITRAKOPOULOS G N, KAKKOS I, DAI Z, et al.Functional connectivity analysis of mental fatigue reveals different network topological alterations between driving and vigilance tasks[J].IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2018, 26(4):740-749.
|
| [9] |
DASARI D, SHOU G, DING L.Investigation of independent components based EEG metrics for mental fatigue in simulated ATC task[C]//6th International IEEE/EMBS Conference on Neural Engineering.Piscataway, NJ: IEEE Press, 2013: 1331-1334.
|
| [10] |
ARICO P, BORGHINI G, DI FLUMERI G, et al.Human factors and neurophysiological metrics in air traffic control:Acritical review[J].IEEE Reviews in Biomedical Engineering, 2017, 10:250-263. doi: 10.1109/RBME.2017.2694142
|
| [11] |
陈征.疲劳驾驶下心电信号的采集与分析系统研究[D].沈阳: 东北大学, 2013: 1-5.
CHEN Z.Research of ECG signal acquisition and analysis based on fatigue-driving[D].Shenyang: Northeastern University, 2013: 1-5(in Chinese).
|
| [12] |
ARICÒ P, BORGHINI G, GRAZIANI I, et al.Air-traffic-controllers (ATCO):Neurophysiological analysis of training and workload[J].Italian Journal of Aerospace Medicine, 2015:35-54. http://d.old.wanfangdata.com.cn/NSTLHY/NSTL_HYCC0214645288/
|
| [13] |
LEE D H, PARK K S.Multivariate analysis of mental and phy-sical load components in sinus arrhythmia scores[J].Ergonomics, 1990, 33(1):35-47. doi: 10.1080/00140139008927092
|
| [14] |
WU Q, ZHAO Y, BI X.Driving fatigue classified analysis based on ECG signal[C]//International Symposium on Computational Intelligence & Design.Pisctaway, NJ: IEEE Press, 2013: 544-547.
|
| [15] |
NADAI S D, D'INCÀ M, PARODI F, et al.Enhancing safety of transport by road by on-line monitoring of driver emotions[C]//System of Systems Engineering Conference.Pisctaway, NJ: IEEE Press, 2016: 1-4.
|
| [16] |
董占勋, 孙守迁, 吴群, 等.心率变异性与驾驶疲劳相关性研究[J].浙江大学学报(工学版), 2010, 44(1):46-50. doi: 10.3785/j.issn.1008-973X.2010.01.009
DONG Z X, SUN S Q, WU Q, et al.Study of correlation between heart rate variability and driving fatigue[J].Journal of Zhejiang University(Engineering Science), 2010, 44(1):46-50(in Chinese). doi: 10.3785/j.issn.1008-973X.2010.01.009
|
| [17] |
刘灵.心率变异性在汽车司机驾驶疲劳监测中应用的研究[D].重庆: 重庆大学, 2007. https://wenku.baidu.com/view/56b084b67e21af45b207a8d3.html
LIU L.Study on application of heart rate variability in vehicle driver fatigue detecting[D].Chongqing: Chongqing University, 2007(in Chinese). https://wenku.baidu.com/view/56b084b67e21af45b207a8d3.html
|
| [18] |
马艳丽.驾驶员驾驶特性与道路交通安全对策研究[D].哈尔滨: 哈尔滨工业大学, 2007: 30-33. http://cdmd.cnki.com.cn/Article/CDMD-10213-2008193188.htm
MA Y L.Study on characteristics of driving and its countermeasures to road safety[D].Harbin: Harbin Institute of Technology, 2007: 30-33(in Chinese). http://cdmd.cnki.com.cn/Article/CDMD-10213-2008193188.htm
|
| [19] |
WilcoPublishing.TowerSimulator[EB/OL].(2018-04-26).http://www.towersimulator.com/features.html.
|
| [20] |
房瑞雪.基于生理信号的驾驶疲劳预警对策有效性的实验研究[D].北京: 北京工业大学, 2010: 31-34. http://cdmd.cnki.com.cn/Article/CDMD-10005-2010108110.htm
FANG R X.Experimental research on effectiveness of pre-warning countermeasure of driving fatigue based on physiological signals[D].Beijing: Beijing University of Technology, 2010: 31-34(in Chinese). http://cdmd.cnki.com.cn/Article/CDMD-10005-2010108110.htm
|
| [21] |
祝荣欣.基于生理信号的联合收获机驾驶疲劳检测与评价[D].哈尔滨: 东北农业大学, 2016: 46-48. http://cdmd.cnki.com.cn/Article/CDMD-10224-1016094570.htm
ZHU R X.Detection and evaluation for driver fatigue of combine harvester based on physiological signals[D].Harbin: Northeast Agricultural University, 2016: 46-48(in Chinese). http://cdmd.cnki.com.cn/Article/CDMD-10224-1016094570.htm
|
| [22] |
付川云.疲劳状态下驾驶人生理及眼动特征研究[D].哈尔滨: 哈尔滨工业大学, 2011: 57-72.
FU C Y.Research on physiological and eye movement characteristics of driver under fatigue condition[D].Harbin: Harbin Institute of Technology, 2011: 57-72(in Chinese).
|
| [23] |
杨华.基于心电脉搏信号的VDT精神疲劳识别方法研究[D].兰州: 兰州理工大学, 2011: 22-24. http://cdmd.cnki.com.cn/Article/CDMD-10731-1011137808.htm
YANG H.The research of VDT mental fatigue estimated method based on ECG and pulse signal[D].Lanzhou: Lanzhou University of Technology, 2011: 22-24(in Chinese). http://cdmd.cnki.com.cn/Article/CDMD-10731-1011137808.htm
|
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