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使用 OpenSim 和肌电辅助求解器对常见固体废物收集投掷技术的生物力学分析。

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

机构信息

Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA; Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA.

Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

J Biomech. 2020 May 7;104:109704. doi: 10.1016/j.jbiomech.2020.109704. Epub 2020 Feb 27.

Abstract

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).

摘要

固体废物收集行业是导致下背痛 (LBP) 的最常见职业之一。腰椎峰值关节反作用力和峰值及综合力矩与 LBP 密切相关。为了研究这些风险,本研究比较了三种常见的固体废物收集投掷技术,这些技术在腰椎对称性上有所不同:对称 (SYM) 技术、不对称固定姿势 (AFS) 技术和不对称带枢轴 (AWP) 技术。计算了投掷 3kg、7kg 和 11kg 垃圾袋的腰椎力矩和关节反作用力,以量化技术和物体重量对 LBP 风险的影响。使用 OpenSim 中的全身肌肉骨骼模型计算了 LBP 风险因素。肌肉激活使用两种方法进行估计:肌电图辅助方法,该方法在求解中包含肌电图数据;以及传统的静态优化方法,该方法不包含肌电图数据。肌电图辅助方法更准确地再现了测量的肌肉激活,导致峰值压缩力和剪切力显著增大(p<0.05),这些值表明存在 LBP 风险。与对称技术相比,SYM 技术的风险因素要么更大,要么在统计学上无差异,对于 3kg 的情况;然而,对于 7kg 和 11kg 的情况,则出现相反的结果(p<0.05)。这些结果表明,在固体废物收集投掷技术中,处理轻量级物体时应使用快速、不对称的技术,而处理更重的物体时应使用缓慢、对称的技术,以降低 LBP 风险。表明不对称技术之间风险增加的结果大多没有定论。正如预期的那样,无论技术如何,增加袋子的质量通常都会增加 LBP 风险因素(p<0.05)。

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