基于表面肌电的工人上肢肌肉疲劳试验研究
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摘要
当人体进入疲劳状态时,表面肌电信号会发生相应的变化。为了探讨工人在持续上肢作业时肌肉疲劳对人体肌电信号的影响,针对疲劳与肌电信号的关系提出评价肌肉疲劳的数学模型,选取10名健康受试者进行机械操作与重物搬举作业。同时,使用表面肌电测试分析仪对肌电信号进行实时监测,采用方差分析、t检验和非线性拟合方法对疲劳与肌电信号的关系进行分析。结果表明,肌电信号的波动程度对生理疲劳有显著变化,上肢肌肉疲劳程度越重,其肌电信号恢复至正常值越久。非线性拟合结果显示,上肢肌肉疲劳的发展趋势呈现出"S型"的趋势。据此提出,疲劳失稳期前让受试者休息,可以减缓或延迟生理疲劳的发生。
When the body enters a state of fatigue,the surface electromyogram signal will change accordingly. In order to investigate the effect of muscle fatigue on the electromyogram signal of the human body during continuous upper limb operation,a mathematical model for evaluating muscle fatigue was proposed,and 10 healthy subjects were selected for mechanical operation and heavy lifting. At the same time,the surface electromyoelectric test analyzer is used to monitor the electromyoelectric signal in real time,and the relationship between fatigue and electromyoelectric signal is analyzed by using variance analysis,T test and nonlinear fitting method. The results showed that the degree of fluctuation of the myoelectric signal had a significant change to physiological fatigue,and the heavier the fatigue degree of the upper limb muscles,the longer the myoelectric signal recovering to normal value. Nonlinear fitting results show that the development trend of upper limb muscle fatigue shows a "S-type" trend. Therefore,it is proposed that allowing the subject to rest before the fatigue instability period can slow down or delay the occurrence of physiological fatigue.
When the body enters a state of fatigue,the surface electromyogram signal will change accordingly. In order to investigate the effect of muscle fatigue on the electromyogram signal of the human body during continuous upper limb operation,a mathematical model for evaluating muscle fatigue was proposed,and 10 healthy subjects were selected for mechanical operation and heavy lifting. At the same time,the surface electromyoelectric test analyzer is used to monitor the electromyoelectric signal in real time,and the relationship between fatigue and electromyoelectric signal is analyzed by using variance analysis,T test and nonlinear fitting method. The results showed that the degree of fluctuation of the myoelectric signal had a significant change to physiological fatigue,and the heavier the fatigue degree of the upper limb muscles,the longer the myoelectric signal recovering to normal value. Nonlinear fitting results show that the development trend of upper limb muscle fatigue shows a "S-type" trend. Therefore,it is proposed that allowing the subject to rest before the fatigue instability period can slow down or delay the occurrence of physiological fatigue.
引文
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[2] 王越,张驎,李鑫.重特大事故经济损失直间系数值估值研究[J].华北科技学院学报,2017,14(5):86-90.
[3] 兰亚佳,周鼎伦,王绵珍,等.机械制造工人下背痛调查及其危险因素探讨[J].中国工业医学杂志,2004,8(4):252-254.
[4] 王忠旭,李刚,秦汝莉,等. 汽车装配工人工作相关肌肉骨骼损伤危险暴露水平及发病调查研究[J].环境与职业医学,2012,29(1):6-8.
[5] Salmoni,A.. Postural implications of obtaining line-of-sight for seated operators of underground mining load-haul-dump vehicles.Ergonomics,2007,50(2):192-196.
[6] Lucini,D.,Marchetti,I.,Spataro,A.,Malacarne,M.,Benzi,M.,& Tamorri,S.,et al.. Heart rate variability to monitor performance in elite athletes: criticalities and avoidable pitfalls. International Journal of Cardiology,2017241(8):307-314.
[7] Nath,N. D.,Akhavian,R.,& Behzadan,A. H. (2017). Ergonomic analysis of construction worker's body postures using wearable mobile sensors. Applied Ergonomics,2017,62(2): 107-111.
[8] Harcombe,H.,Herbison,G. P.,Mcbride,D.,& Derrett,S. Musculoskeletal disorders among nurses compared with two other occupational groups. Occupational Medicine,2014,64(8): 601-609.
[9] 徐明伟,金龙哲,张驎,于露,刘建国,田兴华.基于心率监测的建筑工人生理疲劳分析[J].工程科学学报,2018(6):760-765.
[10] Dai,W.T.,Zhao,X.R.,Zou,Z.F.,Yang,J.X.,& Ri-An,Y.U..Analysis of working postures and exertions in construction industry by owas method. Occupation & Health.2017,11(1):112-121.
[11] Nadadur,G.,Raschke,U.,& Parkinson,M. B.. A quantile-based anthropometry synthesis technique for global user populations. International Journal of Industrial Ergonomics,2016,53(5): 167-170.
[12] 宋挺博,陈飙,孙敬智,等.肌肉骨骼疾患危险因素的现场评价[J].中华劳动卫生职业病杂志,2011,29(2):112-115.
[13] Liao,B.,Gao,H.,& Chen,N. (2013). Methods for classifying intensity of physical labor based on relative heart rate.Journal of Safety Science & Technology,2013,9(4):166-169.
[14] Kleiger RE,Stein PK,Bigger JT Jr. Heart rate variability: measurement and clinical utility[J]. Ann Noninvasive Electrocardiol. 2005,10(1):88-92.