A systematic muscle model covering regions from the fast ramp stretches in the muscle fibres to the relatively slow stretches in the human triceps surae
Youjiro Tamura,
Akira Ito and
Andrew G. Cresswell
Computer Methods in Biomechanics and Biomedical Engineering, 2015, vol. 18, issue 1, 97-106
Abstract:
We have proposed a muscle model which consists of two Maxwell elements and a Voigt element in parallel. The muscle model was applied on the experiment of the force responses by the fast ramp stretch in muscle fibres to determine the mechanical parameters. In the simulation, the Maxwell element with a flexible spring and a long relaxation time seemed to correspond with the force-generating state of the cross-bridges. Next, we tried the muscle model to simulate the relatively slow movement. Experimentally, we have measured torque changes by the stretch responses in the human triceps surae. In the experiments, the derivation of torque by rotation angle showed two peaks P1 and P2. The first peak P1 originated from the elastic properties of engaged cross-bridges, while the second peak P2 was due to stretch reflex signals. The model of a single-joint system simulated well with the experimental results to show a good adaptability of the muscle model.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2013.790016 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:18:y:2015:i:1:p:97-106
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20
DOI: 10.1080/10255842.2013.790016
Access Statistics for this article
Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton
More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().