scholarly journals Building a Bird: Musculoskeletal Modeling and Simulation of Wing-Assisted Incline Running During Avian Ontogeny

2018 ◽  
Vol 6 ◽  
Author(s):  
Ashley M. Heers ◽  
Jeffery W. Rankin ◽  
John R. Hutchinson
Keyword(s):  
Modeling And Simulation ◽  
Musculoskeletal Modeling

scholarly journals OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange

2011 ◽  
Vol 2 ◽  
pp. 212-232 ◽  
Author(s):  
Ajay Seth ◽  
Michael Sherman ◽  
Jeffrey A. Reinbolt ◽  
Scott L. Delp
Keyword(s):  
Modeling And Simulation ◽  
In Silico ◽  
Musculoskeletal Modeling ◽  
Simulation Framework

SENSITIVITY OF MODEL-PREDICTED MUSCLE FORCES OF PATIENTS WITH CEREBRAL PALSY TO VARIATIONS IN MUSCLE-TENDON PARAMETERS

2021 ◽  
Vol 21 (01) ◽  
pp. 2150008
Author(s):  
YUNUS ZIYA ARSLAN ◽  
DERYA KARABULUT
Keyword(s):  
Cerebral Palsy ◽  
Modeling And Simulation ◽  
Muscle Fiber ◽  
Fiber Length ◽  
Muscle Force ◽  
Musculoskeletal Modeling ◽  
Healthy Children ◽  
Muscle Forces ◽  
Healthy Individuals ◽  
Slack Length

Computational musculoskeletal modeling and simulation platforms are efficient tools to gain insight into the muscular coordination of patients with motor disabilities such as cerebral palsy (CP). Muscle force predictions from simulation programs are influenced by the architectural and contractile properties of muscle-tendon units. In this study, we aimed to evaluate the sensitivity of major lower limb muscle forces in patients with CP to changes in muscle-tendon parameters. Open-access datasets of children with CP ([Formula: see text]) and healthy children ([Formula: see text]) were considered. Monte Carlo analysis was executed to specify how sensitive the muscle forces to perturbations between [Formula: see text]% and [Formula: see text]% of the nominal value of the maximum isometric muscle force, optimal muscle fiber length, muscle pennation angle, tendon slack length, and maximum contraction velocity of muscle. The sensitivity analysis revealed that muscle forces of CP patients and healthy individuals were most sensitive to perturbations in the tendon slack length ([Formula: see text]), while forces of CP patients were more sensitive to tendon slack length when compared to the healthy group ([Formula: see text]). Muscle forces of patients and healthy individuals were insensitive to the other four parameters ([Formula: see text]), except for the gracilis and sartorius muscles in which the proportion of optimal muscle fiber length to tendon slack length is higher than 1; forces of these two muscles were also sensitive to the optimal muscle fiber length. The results of this study are expected to contribute to our understanding of which parameters should be personalized when conducting musculoskeletal modeling and simulation of patients with CP.

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