A simplified computational model is presented with which axial knee implant forces can be estimated. The dataset provided in the Ⅳ Grand Challenge to Predict in-vivo Knee Loads is used to assemble a musculoskeletal model, and perform an inverse dynamics analysis. The joint and muscle dynamics recorded during the inverse analysis is then used as target values during a forward dynamics analysis to compute the axial tibiofemoral load. Employing a simplified model has various advantages, the greatest of which are a significant reduction in assembly and analysis times. If the model predictions can also be proven qualitatively accurate, it may pave the way for inclusion of computational musculoskeletal models into everyday orthopaedic assessments of patient biomechanics. One possible drawback of simplification is a reduction in the accuracy of the model predictions if the model is oversimplified. It is therefore imperative to define and understand what knowledge needs to be gained from the model, before simplifications are implemented. For this case, the purpose is to obtain an estimate of the tibiofemoral reaction force (total, medial and lateral axial component). The hypothesis is that the simplifications made to the model will have a minimal impact on the tibiofemoral reaction force predictions, but that the assembly and analysis times will be time efficient.
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