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A method to evaluate human skeletal models using marker residuals and global optimization

机译:一种使用标记残差和全局优化来评估人体骨骼模型的方法

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摘要

Different models are proposed in the literature to study the musculo-skeletal system. These models differ in several aspects like the number of segments in which the system is divided or the way to model articular joints. Marker residual analysis is a widely used method to evaluate how well the model fits the experimental measurements. However, the same model can yield different values of marker residuals depending on the PGA (Protocol of Gait Analysis) employed. The goal is to analyse the changes in the marker residuals obtained with different PGAs when a certain mechanical parameter is modified. Two of the most important parameters in the kinematic analysis have been studied: the length of a segment and the mechanical model of a joint. The results show that marker residuals obtained using some PGA do not provide valuable information to decide the best value of the analysed parameter. Values of the residuals computed using a PGA where the position of the markers is treated with the GOM (Global Optimization Method) are proposed to quantify the effect of certain parameters in the model.
机译:文献中提出了不同的模型来研究肌肉骨骼系统。这些模型在几个方面有所不同,例如系统被划分的段数或建模关节的方式。标记残差分析是一种广泛使用的方法,用于评估模型与实验测量的拟合程度。但是,根据所采用的PGA(步态分析协议),同一模型可以产生不同的标记残差值。目的是分析修改某个机械参数后,使用不同的PGA获得的标记残差的变化。运动学分析中两个最重要的参数已被研究:段的长度和关节的力学模型。结果表明,使用某些PGA获得的标记残差无法提供有价值的信息来确定所分析参数的最佳值。提出了使用PGA计算的残差值,其中标记的位置用GOM(全局优化方法)进行了处理,以量化模型中某些参数的影响。

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