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Perceived discomfort functions based on joint moment for various joint motion directions of the upper limb

机译:基于关节力矩的上肢各种关节运动方向的感知不适功能

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The aim of the present study was to formulate the relationship between the perceived discomfort and the joint moment ratio for twelve joint motion directions of the upper limb by considering the between-subject variability, and to investigate the effect of joint motion direction. Three approximation models (i.e., linear, exponential, and logistic function models) were compared in terms of the accuracy of predicting the perceived discomfort, and the logistic function was selected because its average error was lowest. The concept of L-R fuzzy number was used to consider the individual variability of perceived discomfort, and a simplified distribution of perceived discomfort was represented. Cluster analysis showed that the twelve discomfort functions formed two clusters: one for elbow flexion and a second for the remaining joint motions. The data show that elbow flexion is more sensitive than other joint motions to increases in the joint moment ratio.
机译:本研究的目的是通过考虑受试者之间的差异性来制定上肢的十二个关节运动方向的感觉不适与关节力矩比之间的关系,并研究关节运动方向的影响。比较了三种近似模型(即,线性,指数和逻辑函数模型),以预测感觉到的不适感的准确性,并且选择逻辑函数是因为其平均误差最低。 L-R模糊数的概念用于考虑感知不适的个体差异,并表示感知不适的简化分布。聚类分析表明,十二个不适功能形成两个聚类:一个聚类用于肘部屈曲,另一个聚类用于其余的关节运动。数据显示,肘关节屈曲比其他关节运动对关节力矩比的增加更为敏感。

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