Study on driving fatigue recovery time based on ECG analysis

doi:10.16265/j.cnki.issn1003-3033.2017.08.002

Abstract

Abstract: Proper rest can alleviate driving fatigue and improve driving safety effectively. In order to explore the reasonable driving rest time, simulation experiments were carried out by using an MP150 multi-channels physiological signal acquisition instrument. 20 drivers' ECG signals in fatigue recovery process after 4 hours simulated driving were collected. Then the ECG data were analyzed for obtaining the objective and subjective driver fatigue recovery time. The results show that the HR, standard deviation in N-N intervals (SDNN),the ratio of low frequency to high frequency(LF/HF) and sample entropy (SampEn) have a high linear correlation with recovery time during the driving fatigue recovery process, that the gender has a significant influence on the ECG indicators, that driver's mental fatigue recovery time is shorter than that for physical fatigue, that the subjective recovery time is shorter than that for objective fatigue recovery the rest time for men should not be less than 24 min, that for women should not be less than 27 min after 4 hours' continuous driving.

Key words: driving fatigue, recovery time, electrocardiogram(ECG) signal, types of fatigue, heart rate(HR)

CLC Number:

X912

WANG Yuhua, QI Chunhua, ZHU Shoulin, XIE Songfang, ZHAO Ting. Study on driving fatigue recovery time based on ECG analysis[J]. China Safety Science Journal, 2017, 27(8): 7-12.

References

[1] MAARTEN A S Boksem,THEO F Meijman,MONICQUE M Lorist.Effects of mental fatigue on attention:an ERP study[J]. Cognitive Brain Research,2005,25:107-116.
[2] ALLARD J Van Der Beek, THEO F Meijman,MONIQUE H Frings-dresen,et al.Lorry drivers work stress evaluated by catecholamines excreted in urine[J].Occupational and Environmental Medicine,1995,52(7):464-469.
[3] 蔡启明.以动态心率为指标的体力疲劳的评价方法研究[J].人类工效学,1999,5(1):28-30,72.
CAI Qiming.Study on methods of evaluating physical fatigue according to dynamic heart rate[J].Chinese Journal of Ergonomics,1999,5(1):28-30,72.
[4] BROUHA L,MAXFIELD M E.Practical evaluation of strain in muscular work and heat exposure by heart rate recovery curves[J].Ergonomics,1962,5(1):87-92.
[5] 李航天,朱守林,戚春华,等.基于HRV的北方林区冰雪道路驾驶疲劳分析[J].中国安全科学学报,2016,26(9): 25-29.
LI Hangtian,ZHU Shoulin,QI Chunhua,et al.Driver's fatigue analysis about snow-covered road in north forest region[J].China Safety Science Journal,2016,26(9):25-29.
[6] 赵婷,戚春华,朱守林,等.草原公路短时程驾驶疲劳程度多指标划分研究[J].中国安全科学学报,2016,26(8):13-18.
ZHAO Ting,QI Chunhua,ZHU Shoulin,et al.Research on multi-index classification of short-term driving fatigue on prairiehighway[J].China Safety Science Journal,2016,26(8):13-18.
[7] 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.
MA Yanli.Study on characteristics of driving and road safety measures[D]. Harbin:Harbin Institute of Technology,2007.
[8] HAROLD Klee,CHRIS Bauer,ESSAM Radwan,et al.Preliminary validation of driving simulator based on forward speed[J].Transportation Research Record: Journal of the Transportation Research Board,1999,1689:33-39.
[9] 中华人民共和国国务院令.中华人民共和国道路交通安全法实施条例[L].2004-05-01.
[10] BORG G A V.Perceived exertion:a note on“history”and methods[J].Medicine Andscience in Sport,1973,5(2):90-93.
[11] 陈倩.基于生理信息采集的驾驶疲劳研究[D].重庆:重庆大学,2016.
CHEN Qian. Study of drivingfatigue based on physiological signal collection[D].Chongqing:Chongqing University,2016.
[12] 郭玮珍,郭兴明,万小萍.以心率和心率变异性为指标的疲劳分析系统[J].医疗卫生装备,2005,26(8):1-2.
GUO Weizhen,GUO Xingming,WAN Xiaoping.Fatigue analysis system with HR and HRV as indexes[J].Chinese Medical Equipment Journal,2005,26(8):1-2.
[13] 祝荣欣,王金武,唐汉,等.基于心率变异性的联合收割机驾驶员疲劳分析与评价[J].农业工程学报,2016,32(1):77-83.
ZHU Rongxin,WANG Jinwu,TANG Han,et al.Analysis and evaluation of combine harvester driver fatigue based on heart rate variability[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(1):77-83.