Title
Development of a Muscle Model Parameter Calibration Method via Passive Muscle Force Minimization
Document Type
Conference Paper
Publication Date
7-2015
Publication Source
XXV Congress of the International Society of Biomechanics
Abstract
Computational predictions of subject-specific muscle and knee joint contact forces during walking may improve individual rehabilitation treatment design. Such predictions depend directly on specified model parameter values. However, model parameters are difficult to measure non-invasively. Methods for muscle model parameter calibration have been developed previously. However, it is currently unknown how the musculoskeletal system chooses muscle model parameter values. Previous studies have hypothesized that muscles avoid injury during walking by generating little passive force and operating in the ascending region of the force-length curve. This hypothesis suggests that muscle model parameter values may be selected by the body to minimize passive force. The purpose of this study was to develop a method for calibrating muscle model parameter values and muscle moment arms during walking via minimization of passive force.
Document Version
Published Version
Copyright
Copyright © 2015, International Society of Biomechanics
Publisher
International Society of Biomechanics
Place of Publication
Glasgow, UK
Peer Reviewed
yes
eCommons Citation
Kinney, Allison and Fregly, Benjamin J., "Development of a Muscle Model Parameter Calibration Method via Passive Muscle Force Minimization" (2015). Mechanical and Aerospace Engineering Faculty Publications. 25.
https://ecommons.udayton.edu/mee_fac_pub/25
Included in
Biomechanics Commons, Biomedical Engineering and Bioengineering Commons, Exercise Science Commons, Mechanical Engineering Commons, Other Kinesiology Commons
Comments
The document is made available for download in compliance with the publisher's policies on self-archiving.
Permission documentation is on file.