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Workers' biomechanical loads and kinematics during multiple-task manual material handling

机译:多任务手动材料处理过程中的工人生物力学负载和运动学

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This study investigated the biomechanical loads and kinematics of workers during multiple-task manual material handling (MMH) jobs, and developed prediction models for the moments acting on a worker's body and their peak joint angles. An experiment was conducted in which 20 subjects performed a total of 3780 repetitions of a box-conveying task. This task included continuous sequential removing, carrying and depositing of boxes weighing 2-12 kg. The subjects' motion was captured using motion-capture technology. The origin/destination height was the most influencing predictor of the spinal and shoulder moments and the peak trunk, shoulder and knee angles. The relationship between the origin/destination heights and the above parameters was nonlinear. The mass of the box, and the subject's height and mass, also influenced the spinal and shoulder moments. A tradeoff between the moments acting on the L5/S1 vertebrae and on the shoulder joint was found. Compared to the models developed in similar studies that focused on manual material handling (albeit under different conditions), the high-order prediction equation for peak spinal moment formulated in the present study was found to explain between 10% and 48% more variability in the moments. This suggests that using a high-order equation in future studies might improve the prediction.
机译:本研究调查了在多任务手动物料处理(MMH)工作期间的工人的生物力学载荷和运动学,并为代表工人的身体及其峰值关节角度的时刻开发了预测模型。进行了一个实验,其中20个受试者每次进行3780次重复箱式输送任务。该任务包括连续顺序去除,携带和存放重2-12千克的盒子。使用运动捕获技术捕获受试者的运动。起源/目的地高度是脊柱和肩部矩和峰躯干,肩部和膝关节角度最大的预测因子。原点/目的地高度与上述参数之间的关系是非线性的。盒子的质量和受试者的高度和质量,也影响了脊柱和肩部的瞬间。发现了在L5 / S1椎骨和肩部关节上作用的时刻之间的权衡。与在类似研究中开发的模型相比,专注于手动材料处理(尽管在不同条件下),发现本研究中配制的高阶预测方程,用于解释10%至48%的变化时刻。这表明在未来的研究中使用高阶方程可能会改善预测。

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