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使用腰椎多关节肌电图辅助优化肌肉骨骼模型对专家和新手手工物料搬运工进行生物力学比较。

A biomechanical comparison between expert and novice manual materials handlers using a multi-joint EMG-assisted optimization musculoskeletal model of the lumbar spine.

作者信息

Gagnon Denis, Plamondon André, Larivière Christian

机构信息

Faculté des sciences de l׳activité physique, Université de Sherbrooke, Sherbrooke, Québec, Canada.

Institut de recherche Robert Sauvé en santé et en sécurité du travail, Montréal, Québec, Canada.

出版信息

J Biomech. 2016 Sep 6;49(13):2938-2945. doi: 10.1016/j.jbiomech.2016.07.009. Epub 2016 Jul 18.

DOI:10.1016/j.jbiomech.2016.07.009
PMID:27469898
Abstract

Expertise is a key factor modulating the risk of low back disorders (LBD). Through years of practice in the workplace, the typical expert acquires high level specific skills and maintains a clean record of work-related injuries. Ergonomic observations of manual materials handling (MMH) tasks show that expert techniques differ from those of novices, leading to the idea that expert techniques are safer. Biomechanical studies of MMH tasks performed by experts/novices report mixed results for kinematic/kinetic variables, evoking potential internal effect of expertise. In the context of series of box transfers simulated by actual workers, detailed internal loads predicted by a multiple-joint EMG-assisted optimization lumbar spine model are compared between experts and novices. The results confirmed that the distribution of internal moments are modulated by worker expertise. Experts flexed less their lumbar spine and exerted more active muscle forces while novices relied more on passive resistance of the muscles and ligamentous spine. More specifically for novices, the passive contributions came from global extensor muscles, selected local extensor muscles, and passive structures of the lumbar spine (ligaments and discs). The distinctive distribution of internal forces was not concomitant with a similar effect on joint forces, these forces being dependent on external loading which was equivalent between experts and novices. From a safety standpoint, the present results suggest that experts were more efficient than novices in partitioning internal moment contributions to balance net (external) loading. Thus, safer handling practices might be seen as a result of experts׳ experience.

摘要

专业技能是调节下背部疾病(LBD)风险的关键因素。通过多年在工作场所的实践,典型的专家获得了高水平的特定技能,并保持了与工作相关伤害的良好记录。对手工物料搬运(MMH)任务的人体工程学观察表明,专家技术与新手不同,这导致了专家技术更安全的观点。对专家/新手执行的MMH任务的生物力学研究报告了运动学/动力学变量的混合结果,引发了专业技能的潜在内部影响。在由实际工人模拟的一系列箱子转移的背景下,比较了专家和新手之间由多关节肌电图辅助优化腰椎模型预测的详细内部负荷。结果证实,内部力矩的分布受工人专业技能的调节。专家的腰椎弯曲较少,施加的主动肌肉力量更多,而新手则更多地依赖于肌肉和脊柱韧带的被动阻力。更具体地说,对于新手来说,被动贡献来自全局伸肌、选定的局部伸肌以及腰椎的被动结构(韧带和椎间盘)。内力的独特分布并没有对关节力产生类似的影响,这些力取决于专家和新手之间等效的外部负荷。从安全角度来看,目前的结果表明,专家在分配内部力矩贡献以平衡净(外部)负荷方面比新手更有效。因此,更安全的操作实践可能被视为专家经验的结果。

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