Modeling toes contributes to realistic stance knee mechanics in three-dimensional predictive simulations of walking.

ABSTRACT: Physics-based predictive simulations have been shown to capture many salient features of human walking. Yet they often fail to produce realistic stance knee and ankle mechanics. While the influence of the performance criterion on the predicted walking pattern has been previously studied, the influence of musculoskeletal mechanics has been less explored. Here, we investigated the influence of two mechanical assumptions on the predicted walking pattern: the complexity of the foot model and the stiffness of the Achilles tendon. We found, through three-dimensional muscle-driven predictive simulations of walking, that modeling the toes, and thus using two-segment instead of single-segment foot models, contributed to robustly eliciting physiological stance knee flexion angles, knee extension tor

SUBMITTER: Falisse A 

PROVIDER: S-EPMC8789163 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature