A Model of the Lower Limb for Analysis of Human Movement
By E. Arnold, Samuel Ward, R. Lieber, Scott L. Delp. Annals of Biomedical Engineering, 2009
874 citations recorded by the source corpus.
Computer models that estimate the force generation capacity of lower limb muscles have become widely used to simulate the effects of musculoskeletal surgeries and create dynamic simulations of movement. Previous lower limb models are based on severely limited data describing limb muscle architecture (i.e., muscle fiber lengths, pennation angles, and physiological cross-sectional areas). Here, we describe a new model of the lower limb based on data that quantifies the muscle architecture of 21 cadavers. The model includes geometric representations of the bones, kinematic descriptions of the joints, and Hill-type models of 44 muscle–tendon compartments. The model allows calculation of muscle–tendon lengths and moment arms over a wide range of body positions. The model also allows detailed examination of the force and moment generation capacities of muscles about the ankle, knee, and hip and is freely available at www.simtk.org.
Subfields: Biomedical Engineering, Orthopedics and Sports Medicine
View Paper: https://www.semanticscholar.org/paper/ded20ed525196b6816d9117e815e86e78149e80c
How researchers see this paper
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In Biomedical Engineering
- Ajay Seth
- Scott L. Delp
- Jennifer L. Hicks
- Apoorva Rajagopal
- Michael A. Sherman
- J. Reinbolt
- Christopher L. Dembia
- Matthew S. DeMers
In Orthopedics and Sports Medicine
Citations in the corpus
- OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange (2011, positive): “This framework includes 1) an end-user application with a graphical user interface (GUI), 2) a set of command-line utilities, 3) a software development kit (SDK) including application programming interfaces (APIs) and corresponding libraries, 4) a standardized set of file formats for defining and sh”
- Full-Body Musculoskeletal Model for Muscle-Driven Simulation of Human Gait (2016, methodology): “[15] has become widely used, but has two major drawbacks for use in muscle driven”