Knee contact force prediction during a step-up task using a subject specific musculoskeletal model with anatomical knee

Abstract

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Better understanding of knee mechanics can aid in injury prevention and rehabilitation. Multi-body computational models can be used to better understand the knee mechanics by applying the principles of mechanics to the musculoskeletal system. In this study a subject specific musculoskeletal model was created to predict the right leg muscle, right knee contact and ligament forces during step-up task. The subject specific muscle driven computational model was created by using the MRI of the subject's right leg and motion capture data. A laxity model was also created to calibrate the ligament model in order to predict more accurate ligament forces.