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Prediction of Knee Loads Using a Lower Extremity Model Based on the Klein Horsman Data Set

机译:基于Klein Horsman数据集的下肢模型预测膝关节负荷

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The loads obtained with the model presented in this study generally exceed measured values reported in the literature. However, the trend of the curves is similar to the in-vivo measurements. Thus, it is likely that the model is valid for prediction of the influence of different parameters (such as pathological motions, location of the prosthesis, modification of muscles insertion points) and that correct absolute values will be obtained when model parameters have been revised further. Work is currently ongoing to create a more detailed knee model for the AnyBody model repository. The current data set will prove a valuable benchmark when validating a future knee model.
机译:通过本研究中的模型获得的负载通常超过文献中报道的测量值。但是,曲线的趋势类似于体内测量。因此,该模型可能有效地预测了不同参数的影响(例如病理运动,假体位置,肌肉插入点的改变),并且当进一步修改模型参数时,将获得正确的绝对值。 。当前正在为AnyBody模型存储库创建更详细的膝盖模型的工作。当前的数据集将在验证未来的膝关节模型时证明是有价值的基准。

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