Computational models of the knee are useful for evaluating changes in kinematics, soft tissue loadings, new prosthetic geometries, and surgical techniques [1, 2]. These models are advantageous in their ability to quickly and efficiently evaluate the effect of changes in these parameters on knee joint function. The limitation of modeling is that the results are greatly influenced by the constraints and parameters used to create the model.
Volume Subject Area:
Poster Session
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