Musculotendon lengths and moment arms for a three-dimensional upper-extremity model.

ABSTRACT: Generating muscle-driven forward dynamics simulations of human movement using detailed musculoskeletal models can be computationally expensive. This is due in part to the time required to calculate musculotendon geometry (e.g., musculotendon lengths and moment arms), which is necessary to determine and apply individual musculotendon forces during the simulation. Modeling upper-extremity musculotendon geometry can be especially challenging due to the large number of multi-articular muscles and complex muscle paths. To accurately represent this geometry, wrapping surface algorithms and/or other computationally expensive techniques (e.g., phantom segments) are used. This paper provides a set of computationally efficient polynomial regression equations that estimate musculotendon length and mo

SUBMITTER: Rankin JW 

PROVIDER: S-EPMC3358406 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature