Literature DB >> 3999711

The influence of muscle model complexity in musculoskeletal motion modeling.

M L Audu, D T Davy.   

Abstract

A comparative study of four different muscle models in a musculoskeletal motion problem is made. The models vary in complexity from the simple input-output model to the more complex model of Hatze [1]. These models are used to solve a minimum time kicking problem using an optimal control algorithm. The results demonstrate the strong influence of the model choice on the various predicted kinematic and kinetic parameters in the problem. The study illustrates some of the advantages and disadvantages involved in trade-offs between model complexity and practicability in musculoskeletal motion studies. The results also illustrate the importance of appropriate detailed parameter estimation studies in the mathematical modeling of the musculoskeletal system.

Mesh:

Year:  1985        PMID: 3999711     DOI: 10.1115/1.3138535

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  8 in total

1.  Time optimality in the control of human movements.

Authors:  R Happee
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

2.  Maximum voluntary joint torque as a function of joint angle and angular velocity: model development and application to the lower limb.

Authors:  Dennis E Anderson; Michael L Madigan; Maury A Nussbaum
Journal:  J Biomech       Date:  2007-05-07       Impact factor: 2.712

3.  Control of FES-induced cyclical movements of the lower leg.

Authors:  P H Veltink
Journal:  Med Biol Eng Comput       Date:  1991-11       Impact factor: 2.602

4.  A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb.

Authors:  Alessandro Navacchia; Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-12-28       Impact factor: 2.712

5.  Muscle work is increased in pre-swing during hemiparetic walking.

Authors:  Carrie L Peterson; Steven A Kautz; Richard R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2011-05-24       Impact factor: 2.063

6.  Posture shifting after spinal cord injury using functional neuromuscular stimulation--a computer simulation study.

Authors:  Musa L Audu; Raviraj Nataraj; Steven J Gartman; Ronald J Triolo
Journal:  J Biomech       Date:  2011-06-03       Impact factor: 2.712

7.  A Differentiable Dynamic Model for Musculoskeletal Simulation and Exoskeleton Control.

Authors:  Chao-Hung Kuo; Jia-Wei Chen; Yi Yang; Yu-Hao Lan; Shao-Wei Lu; Ching-Fu Wang; Yu-Chun Lo; Chien-Lin Lin; Sheng-Huang Lin; Po-Chuan Chen; You-Yin Chen
Journal:  Biosensors (Basel)       Date:  2022-05-09

8.  Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models.

Authors:  Christian Kleinbach; Oleksandr Martynenko; Janik Promies; Daniel F B Haeufle; Jörg Fehr; Syn Schmitt
Journal:  Biomed Eng Online       Date:  2017-09-02       Impact factor: 2.819

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.