The major drawback of musculoskeletal models, independent of the platform used, is uncertainty in the accuracy of the predictions, whether qualitative or quantitative, from the analysis on the computational model. Body motion, predicted muscle activation and the environment reaction forces can be validated in a motion laboratory. Unfortunately, this dataset provides little to no information on the joint loads and muscle tensions that are difficult to measure. The challenge to predict in-vivo knee loads, while the actual loads are available for comparison, provides the opportunity to evaluate the viability of the strategy to set up and analyze the computational musculoskeletal model.

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