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Biomechanical analysis of common solid waste collection throwing techniques using OpenSim and an EMG-assisted solver

机译:采用Opensim和EMG辅助求解器的共同固体废物收集抛掷技术的生物力学分析

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The solid waste collection industry is one of the most common occupations resulting in low back pain (LBP). Lumbar peak joint reaction forces and peak and integrated moments are strong correlates of LBP. To investigate these risks, this study compared three common waste collection throwing techniques of varying lumbar symmetry: the symmetric (SYM) technique, the asymmetric fixed stance (AFS) technique, and the asymmetric with pivot (AWP) technique. Lumbar moments and joint reaction loads were computed for throwing garbage bags of 3, 7, and 11 kg to quantify the effects that technique and object weight have on LBP risk. LBP risk factors were computed using a full-body musculoskeletal model in OpenSim. Muscle activations were estimated using two methods: the EMG-assisted method, which included electromyography data in the solution, and the conventional static optimization method, which did not. The EMG-assisted method more accurately reproduced measured muscle activation, resulting in significantly larger peak compressive and shear forces (p < 0.05) of magnitudes indicative of LBP risk. Risk factors associated with the SYM technique were either larger or not statistically different compared to the asymmetric techniques for the 3 kg condition; however, the opposite result occurred for the 7 and 11 kg conditions (p < 0.05). These results suggest using rapid, asymmetric techniques when handling lightweight objects and slower, symmetric techniques for heavier objects to reduce LBP risk during waste collection throwing techniques. Results indicating increased risk between asymmetric techniques were mostly inconclusive. As expected, increasing bag mass generally increased LBP risk factors, regardless of technique (p < 0.05). (C) 2020 Elsevier Ltd. All rights reserved.
机译:固体废物收集产业是最常见的职业之一,导致腰痛(LBP)。腰部峰值关节反应力和峰值和综合时刻是LBP的强相关。为了研究这些风险,本研究比较了不同腰椎对称的三种常见废物收集抛出技术:对称(Sym)技术,非对称固定姿势(AFS)技术,以及枢轴(AWP)技术的不对称。计算腰部和关节反应载荷,用于投掷3,7和11kg的垃圾袋,以量化技术和对象重量对LBP风险的影响。使用OpenSim中的全身肌肉骨骼模型计算LBP风险因素。使用两种方法估计肌肉激活:包括在解决方案中的肌电图数据的EMG辅助方法,以及传统的静态优化方法,其没有。 EMG辅助方法更准确地再现测量的肌肉活化,导致显着更大的峰值压缩和剪切力(P <0.05),大小表示为LBP风险。与符号技术相关的风险因素与3千克条件的不对称技术相比较大或没有统计学不同;然而,相反的结果发生在7和11kg条件下(P <0.05)。这些结果建议使用快速,不对称技术,当处理轻量级物体和较慢,对称技术中,用于较重的物体,以减少废物收集抛出技术期间的LBP风险。结果表明不对称技术之间的风险增加主要是不确定的。如预期的那样,无论技术如何,增加袋子群众都会增加LBP风险因素(P <0.05)。 (c)2020 elestvier有限公司保留所有权利。

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