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A Novel Biomechanical Analysis of Horticultural Digging

机译:一种新的园艺挖掘生物力学分析

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Musculoskeletal injuries are commonly reported in workers employed in labor-intensive agricultural-type tasks. A novel method of determining joint angles, joint torques, and contact forces, using three-dimensional motion capture and musculoskeletal modeling, was applied to the movements of a sample of workers, engaged in the horticultural task of digging, to determine if objective biomechanical data could be correlated with a subjective visual assessment to predict risk of injury. The joint angle time histories of horticulturists were calculated from the motion capture data, and this was used to articulate a musculoskeletal model of the subjects. The joint torques were calculated using inverse dynamics methods from which the individual muscle loads were established using a cost function minimization approach. Finally, the joint contact forces were calculated including the muscle forces. The motion capture data of digging trials were observed by a team of horticulturists and physiotherapists who categorized each of the observed trials according to form, efficiency, and risk of injury. Trials demonstrating techniques which were more likely to yield injuries were identified as "examples of bad technique''; those judged to be less likely to yield injuries were categorized as "examples of good technique.'' It was found that the joint torques and contact forces and their variability were lower in the trial which was identified as good technique, and consistently higher in the examples of bad technique. The results of the study suggest that measurement of joint angles, joint torques, joint contact forces, and forces in the muscles could serve as a valuable tool to develop training programs for horticultural workers engaged in certain high intensity tasks, such as digging, to effectively improve efficiency and reduce incidence of injury. It may also be possible to modify horticulture-related equipment to minimize the internal loads within the body to reduce the risk to health and, therefore, extend active participation in horticulture.
机译:肌肉骨骼损伤在劳动密集型的农业型任务雇用的​​工人通常报告。 ,施加到工人的样品的移动,确定关节角度,关节扭矩,并且接触力,利用三维运动捕捉和肌肉骨骼建模的新方法从事挖的园艺任务,以确定是否目标生物力学数据可以用一个主观视觉评估是相关的预测伤害的危险。园艺的关节角度的时间历程从运动捕捉数据计算的,并且这被用于阐明受试者的肌骨模型。联合扭矩使用来自其使用成本函数最小化的方式建立了单独的肌肉负荷逆动力学方法计算。最后,关节接触力进行了计算,包括肌肉力量。由一组园艺和物理治疗师谁根据形式,效率和受伤的风险分类每个观测试验,观察试验挖的动作捕捉数据。试验证明这是更可能产生伤害被认定为技术“坏技术‘’的例子;这些判断是不太可能产生伤害被归类为”良好的技术的例子。‘’有人发现,关节力矩和接触力及其变化均参加了在坏的技术的例子认定为很好的技术,并持续高于审判低。这项研究的结果表明,关节角度,关节力矩,关节接触力的测量,并在肌肉力量可以作为有效地制定训练计划的园艺工人从事某些高强度的任务,如挖,一个有价值的工具提高效率,减少伤害的发生率。这也可能是可以修改园艺相关的设备,以尽量减少身体内的内部负荷的风险降低到健康,因此,在园艺延长的积极参与。

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