Download PDFOpen PDF in browserIn silico Computation of Knee Muscle Forces tailored to a Novel Multi-Motion in vitro Knee Simulator’s Constraints6 pages•Published: December 17, 2024AbstractIn vitro physiological knee joint simulators have been proven to be valuable tools for characterizing knee joint biomechanics, complementing in vivo measurements. However, many simulators only allow simulations of squatting motions. This is partly due to the lack of a tailored approach to efficiently identify the required simulator input parameters for accurate investigation of other frequently performed activities of daily living (ADL). Therefore, we aimed to develop a novel in vivo-based computational approach which uniquely integrates multiple constraints from a novel in vitro knee simulator to determine the required muscle forces during various ADLs.During a motion capture study, six healthy subjects performed squatting, sit-stand- sit and gait motions. Subject-scaled musculoskeletal models were adapted to include constraints of the knee joint simulator by including only quadriceps and hamstring muscle actuators, down-scaling ground reaction forces and applying constant hamstring force. Subsequently, muscle forces were computed for each motion using the Concurrent Optimization of Muscle Activations and Kinematics algorithm. Afterwards, the in silico-based squatting results were retrospectively compared with previously performed in vitro experiments using the knee joint simulator, which actively controlled the quadriceps and bilateral hamstrings to maintain a constant vertical ground reaction force of 110N during squatting. Resulting in silico computed and simulator-measured forces during squatting showed similar magnitudes and high correlations. This indicates robustness of the proposed in vivo-based computational approach. Accordingly, its application to stance phase of gait initiated quasi-static in vitro simulations of this additional motion, further demonstrating its feasibility. Keyphrases: activities of daily living, computational model, knee joint simulator In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 220-225.
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