Approximating complex musculoskeletal biomechanics using multidimensional autogenerating polynomials.

ABSTRACT: Computational models of the musculoskeletal system are scientific tools used to study human movement, quantify the effects of injury and disease, plan surgical interventions, or control realistic high-dimensional articulated prosthetic limbs. If the models are sufficiently accurate, they may embed complex relationships within the sensorimotor system. These potential benefits are limited by the challenge of implementing fast and accurate musculoskeletal computations. A typical hand muscle spans over 3 degrees of freedom (DOF), wrapping over complex geometrical constraints that change its moment arms and lead to complex posture-dependent variation in torque generation. Here, we report a method to accurately and efficiently calculate musculotendon length and moment arms across all physiologic

SUBMITTER: Sobinov A 

PROVIDER: S-EPMC7773415 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature