Experiment-guided tuning of muscle-tendon parameters to estimate muscle fiber lengths and passive forces.

ABSTRACT: The workflow to simulate motion with recorded data usually starts with selecting a generic musculoskeletal model and scaling it to represent subject-specific characteristics. Simulating muscle dynamics with muscle-tendon parameters computed from existing scaling methods in literature, however, yields some inconsistencies compared to measurable outcomes. For instance, simulating fiber lengths and muscle excitations during walking with linearly scaled parameters does not resemble established patterns in the literature. This study presents a tool that leverages reported in vivo experimental observations to tune muscle-tendon parameters and evaluates their influence in estimating muscle excitations and metabolic costs during walking. From a scaled generic musculoskeletal model, we tuned optima

SUBMITTER: Luis I 

PROVIDER: S-EPMC11199655 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature