Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait.

ABSTRACT: Locomotion results from complex interactions between the central nervous system and the musculoskeletal system with its many degrees of freedom and muscles. Gaining insight into how the properties of each subsystem shape human gait is challenging as experimental methods to manipulate and assess isolated subsystems are limited. Simulations that predict movement patterns based on a mathematical model of the neuro-musculoskeletal system without relying on experimental data can reveal principles of locomotion by elucidating cause-effect relationships. New computational approaches have enabled the use of such predictive simulations with complex neuro-musculoskeletal models. Here, we review recent advances in predictive simulations of human movement and how those simulations have been used to de

SUBMITTER: De Groote F 

PROVIDER: S-EPMC7935082 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature