草原公路驾驶人腰部疲劳恢复的表面肌电分析

doi:10.16265/j.cnki.issn1003-3033.2018.05.002

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (5): 6-11.doi: 10.16265/j.cnki.issn1003-3033.2018.05.002

草原公路驾驶人腰部疲劳恢复的表面肌电分析

王玉化, 戚春华^** 教授, 朱守林教授, 解松芳副教授

内蒙古农业大学能源与交通工程学院,内蒙古呼和浩特 010018

收稿日期:2018-02-01 修回日期:2018-04-06 出版日期:2018-05-28
作者简介:王玉化(1986—),男,河南宝丰人,博士研究生,主要研究方向为公路交通运输规划与管理。E-mail:kushusheng1995@163.com。
基金资助:
国家自然科学基金资助(51768057)。

Surface EMG based analysis of recovery from lumbar fatigue for driver on prairie highway

WANG Yuhua, QI Chunhua, ZHU Shoulin, XIE Songfang

College of Energy and Traffic Engineering,Inner Mongolia Agriculture University,Hohhot Inner Mongolia 010018,China

Received:2018-02-01 Revised:2018-04-06 Published:2018-05-28

摘要/Abstract

摘要： 为研究草原公路驾驶人腰部肌肉疲劳恢复特性,在草原公路模拟驾驶环境开展腰部疲劳恢复试验。利用MP150多通道生理测试仪采集驾驶人试验前、驾驶结束时和疲劳恢复阶段的腰部肌电信号,并应用配对样本t检验和独立样本t检验进行统计分析,探讨草原公路驾驶人腰部肌肉疲劳恢复特征。结果表明:在驾驶疲劳恢复期,时域指标平均振幅值(AEMG)、积分肌电值(IEMG)和均方根值(RMS)随恢复时间而增大,频域指标中位频率值(MF)和平均功率频率值(MPF)则随之减小;各指标在疲劳恢复初期恢复较快,当驾驶人疲劳恢复程度达到80%左右时,其在之后同等时间段内肌电各指标的恢复能力趋于平缓;2 h组腰部竖脊肌的表面肌电(sEMG)指标在恢复期第 18 min与静测无显著差异,4 h组在恢复期第27 min与静测无显著差异。

关键词: 草原公路, 交通安全, 恢复时间, 表面肌电(sEMG), 腰部竖脊肌, 驾驶疲劳

Abstract: To study the characteristics of recovery from waist muscle fatigue for drivers driving on the prairie highway,drivers' lumbar muscle recovery experiments were carried out in a simulated grassland highway driving environment.The waist electromyographic signal was collected before the test,the end of the driving and fatigue recovery phase by MP150 multi-channel physiological tester acquisition.The paired sample t-test and independent sample t-test statistical analysis were carried out,drivers waist muscle fatigue recovery characteristics were discussed on the prairie highway.The results show that there is a positive correlation between the time-domain indices (AEMG,IEMG and RMS of sEMG) and the recovery time,and there is a negative correlation between the frequency domain indices (MF and MPF) and the recovery time.Recovery rate is inversely proportional to recovery time.

Key words: prairie highway, traffic safety, recovery time, surface electromyography(sEMG), lumbar muscles, driving fatigue

中图分类号:

X912
U491

王玉化, 戚春华, 朱守林, 解松芳. 草原公路驾驶人腰部疲劳恢复的表面肌电分析[J]. 中国安全科学学报, 2018, 28(5): 6-11.

WANG Yuhua, QI Chunhua, ZHU Shoulin, XIE Songfang. Surface EMG based analysis of recovery from lumbar fatigue for driver on prairie highway[J]. China Safety Science Journal, 2018, 28(5): 6-11.

参考文献

[1] BHATTACHARYA A.Costs of occupational musculoskeletal disorders (MSDs) in the United States[J].International Journal of Industrial Ergonomics,2014,44(3):448-454.
[2] CHEN Chen,XIE Yuanchang.Modeling the safety impacts of driving hours and rest breaks on truck drivers considering time-dependent covariates[J].Journal of Safety Research,2014,51:57-63.
[3] VESPA S,RHODES W,HESLEGRAVE R,et al.Options for changes to hours of service for commercial vehicle drivers[R].Road Safety Programs Group and Transportation Development Centre Safety and Security,Transport,1998.
[4] ALASTAIR P,BEVERLEY B.Rules on drivers' hours and tachographs:passenger-carrying vehicles in GB and Europe[R].Vehicle and Operator Services Agency,2007.
[5] Governor-General of the Commonwealth of Australia.National transport commission (road transport legislation-driving hours regulations) regulations 2006[Z].2006- 02-15.
[6] 国务院第49次常务会议.中华人民共和国道路交通安全法实施条例[L].2004-05-01.
[7] 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 prairie highway[J].China Safety Science Journal,2016,26(8):13-18.
[8] SIMONEAU G G,MARKLIN R W,BERMAN J E.Effect of computer keyboard slope on wrist position and forearm electromyography of typists without musculoskeletal disorders[J].Physical Therapy,2003,83:816-830.
[9] THIFFAULT P,BERGERON J.Monotony of road environment and driver fatigue:a simulator study[J].Accident Analysis and Prevention,2003,35(3):381-391.
[10] HAGG G M,LUTTMANN A,JAGER M.Methodologies for evaluating electromyographic field data in ergonomics[J].Journal of Electromyography and Kinesiology,2000,10(5):301-312.
[11] BASANO L,OTTONELLO P.Real-time FFT to monitor muscle fatigue[J].IEEE Transactions on Biomedical Engineering,1986,33(11):1049-1051.
[12] BOUISSOU P,ESTRADE P Y,GOUBEL F,et al.Surface EMG power spectrum and intramuscular pH in human vastus lateralis muscle during dynamic exercise[J].Journal of Applied Physiology,1989,67(3):1245-1249.
[13] MASUDA K,SADOYAMA T,INAKI M,et al.Changes in surface EMG parameters during static and dynamic fatiguing contractions[J].Journal of Electromyography and Kinesiology,1999,9(1):39-46.

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草原公路驾驶人腰部疲劳恢复的表面肌电分析

Surface EMG based analysis of recovery from lumbar fatigue for driver on prairie highway

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