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[1]陈晓琳,陈立,郭鑫禾,等.井下支护作业人员颈部肌肉疲劳特性研究*[J].中国安全生产科学技术,2022,18(6):92-97.[doi:10.11731/j.issn.1673-193x.2022.06.014]
　CHEN Xiaolin,CHEN Li,GUO Xinhe,et al.Study on fatigue characteristics of neck muscles of underground supporting operators[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(6):92-97.[doi:10.11731/j.issn.1673-193x.2022.06.014]
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井下支护作业人员颈部肌肉疲劳特性研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年6期
页码:
92-97
栏目:
职业安全卫生管理与技术
出版日期:
2022-06-30

文章信息/Info

Title:
Study on fatigue characteristics of neck muscles of underground supporting operators
文章编号:
1673-193X(2022)-06-0092-06
作者:
陈晓琳; 陈立; 郭鑫禾; 翟韫哲
（河北工程大学 矿业与测绘工程学院，河北 邯郸 056000）
Author(s):
CHEN Xiaolin;  CHEN Li;  GUO Xinhe;  ZHAI Yunzhe
(School of Mining and Surveying Engineering,Hebei University of Engineering,Handan Hebei 056000,China)
关键词:
矿工; 支护作业; 颈部肌肉; 疲劳特性; 表面肌电
Keywords:
miner;  supporting operation;  neck muscle;  fatigue characteristics;  surface electromyography
分类号:
X914
DOI:
10.11731/j.issn.1673-193x.2022.06.014
文献标志码:
A
摘要:
为探究井下支护作业人员颈部肌肉疲劳受伸张和屈曲角度变化的影响，采用表面肌电法（sEMG）实验模拟测量7种点位角度下，颈部夹肌、斜方肌以及胸锁乳突肌在不同作业频率时的疲劳情况,以积分肌电值(iEMG)及中值频率（MF）评价各肌肉疲劳程度。研究结果表明：低频实验中随点位角度的增大，颈部屈曲活动时，胸锁乳突肌疲劳变化明显，iEMG疲劳前后差值最大为1.55，MF下降率最大为0.60；颈部伸展活动时，夹肌疲劳变化明显，iEMG疲劳前后差值最大为1.59，MF下降率最大为0.59；斜方肌未表现出明显疲劳变化规律。高频实验相较低频实验疲劳发生速度加快，疲劳积累程度显著提升，颈部活动主要肌肉疲劳发生时间由16~19 min提前至13~17 min，各肌肉MF下降速度为低频实验的1~1.55倍。
Abstract:
In order to explore the influence of the change in the stretch and buckling angles on the neck muscle fatigue of the underground supporting operators,the fatigue situation of splenius cervicis,trapezius and sternocleidomastoid muscle under different operating frequencies at 7 point angles were measured with the surface electromyography (sEMG) experimental simulation,and the fatigue degree of each muscle was evaluated by the integral muscle Electric value (iEMG) and median frequency (MF).The results showed that in the low-frequency experiments and in case of the buckling action of neck,with the increase of point angle,the fatigue of sternocleidomastoid muscle changed significantly,the maximum difference between iEMG value before and after fatigue was 1.55,and the maximum decrease rate of MF was 0.60.In case of the stretch action of neck,the fatigue of splenius cervicis changed significantly,the maximum difference between iEMG value before and after fatigue was 1.59,and the maximum decrease rate of MF was 0.59.The trapezius didn’t presented the obvious fatigue change.Compared with the low-frequency experiments,the high-frequency experiments had a faster occurrence rate of fatigue and a significant increase in the degree of fatigue accumulation.The occurrence time of fatigue of the main neck muscles advanced from 16~19 min to 13~17 min,and the MF of each muscle decreased at a rate of 1~1.55 times as that of the low-frequency experiments.

参考文献/References:

［1］韩凤，王东升，邹建芳，等.煤矿工人职业紧张与职业性肌肉骨骼疾患相关性研究［J］.中国职业医学,2018,45(2):188-193. HAN Feng,WANG Dongsheng,ZOU Jianfang,et al.Relationship between occupational stress and occupational musculoskeletal disorders in coal miners ［J］.China Occupational Medicine,2018,45(2):188-193.
［2］易孝婷，李雪，刘继文.新疆煤矿工人肌肉骨骼疾患患病率及相关因素研究［J］.实用预防医学,2021,28(11):1291-1295. YI Xiaoting,LI Xue,LIU Jiwen.Prevalence rate of musculoskeletal disorders and its rated factors among coal miners in Xinjiang ［J］.Practical Preventive Medicine,2021,28(11):1291-1295.
［3］徐明伟，金龙哲，于露，等.长时间颈部前屈对颈部肌肉疲劳的影响［J］.工程科学学报,2019,41(11):1493-1500. XU Mingwei,JIN Longzhe,YU Lu,et al.Effects of long-term neck forward flexion on neck muscle fatigue ［J］.Chinese Journal of Engineering,2019,41(11):1493-1500.
［4］王越，张驎.矿工肌肉疲劳状况及事故预防研究［J］.中国安全科学学报,2021,31(3):191-196. WANG Yue,ZHANG Lin.Research on muscle fatigue and accident prevention in coal miners ［J］.China Safety Science Journal,2021,31(3):191-196.
［5］李磊，田水承，邓军，等.矿工不安全行为影响因素分析及控制对策［J］.西安科技大学学报,2011,31(6):794-798，813. LI Lei,TIAN Shuicheng,DENG Jun,et al.Study on the coal miners’ unsafe behavior:Effective factors analysis and control measures ［J］.Journal of Xi’an University of Science and Technology,2011,31(6):794-798,813.
［6］SASAKI M,ONISHI K,STEFANOV D,et al.Tongue interface based on surface EMG signals of suprahyoid muscles ［J］.Robomech Journal,2016,3(1):9-16.
［7］曹昂，张珅嘉，刘睿，等.基于表面肌电信号的肌肉疲劳状态分类系统［J］.计算机应用,2018,38( 6):1801-1808. CAO Ang,ZHANG Shenjia,LIU Rui,et al.Muscle fatigue status classification system based on electromyography signal ［J］.Journal of Computer Applications,2018,38(6):1801-1808.
［8］QI W,CHEN X,LU D,et al.Classification of EMG signals by BFA-optimized GSVCM for diagnosis of fatigue status ［J］.IEEE Transactions on Automation Science and Engineering,2017,14(2):915-930.
［9］KANG S K,KIM J,KWON M,et al.Objectivity and validity of EMG method in estimating anaerobic threshold ［J］.International Journal of Sports Medicine,2014,35(9):737-742.
［10］杜云霄，王殊轶，左艳，等.基于表面肌电信号的颈部肌肉疲劳评价算法比较研究［J］.生物医学工程学杂志,2018,35(1):31-37. DU Yunxiao,WANG Shuyi,ZUO Yan,et al.Comparative study on evaluation algorithms for neck muscle fatigue based on surface electromyography signal ［J］.Journal of Biomedical Engineering,2018,35(1):31-37.
［11］王琳，罗旭，姜鑫，等.基于生物力学和颈腰部EMG判别驾驶员疲劳状态［J］.汽车工程,2017,39(8):955-960，967. WANG Lin,LUO Xu,JIANG Xin,et al.Detection on driver fatigue based on biomechanics and EMG of cervical and lumbar muscles ［J］.Automotive Engineering,2017,39(8):955-960,967.
［12］王琳，付荣荣，张陈，等.基于生物力学分析Q值对颈肌疲劳的反映效果［J］.仪器仪表学报,2017,38(4):878-885. WANG Lin,FU Rongrong,ZHANG Chen,et al.Biomechanics-based investigation on the relation between index Q and cervical muscle fatigue ［J］.Chinese Journal of Scientific Instrument,2017,38(4):878-885.
［13］徐胜，金龙哲，徐明伟.受限空间钻孔工人的肌肉疲劳特性研究［J］.中国安全科学学报,2019,29(3):76-81. XU Sheng,JIN Longzhe,XU Mingwei.Study on muscle fatigue characteristics of drilling workers in confined space ［J］.China Safety Science Journal,2019,29(3):76-81.
［14］HOSTENS I,RAMON H.Assessment of muscle fatigue in low level monotonous task performance during car driving ［J］.Journal of Electromyography and Kinesiology，2005,15(3):266-274.
［15］郭伏，吕伟，王天博，等.基于表面肌电和心电的手工搬运作业疲劳分析［J］.人类工效学,2018,24(1):1-6. GUO Fu,LYU Wei,WANG Tianbo,et al.Analysis of manual materials handling fatigue based on sEMG and ECG ［J］.Chinese Journal of Ergonomics,2018,24(1):1-6.

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备注/Memo

备注/Memo:
收稿日期： 2021-08-26
* 基金项目： 河北省高等学校科学技术研究项目（QN2020404）；河北省自然科学基金生态智慧矿山联合基金项目(E2020402036)
作者简介： 陈晓琳，硕士研究生，主要研究方向为矿山人机安全。
通信作者： 陈立，博士，副教授，主要研究方向为矿山灾害防治、应急安全管理等。
更新日期/Last Update: 2022-07-10