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Skeletal Muscle Modelling

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Encyclopedia of Continuum Mechanics

Synonyms

Active soft tissue modelling; Excitation-contraction coupling; Hill muscle modelling; Muscle mechanics; Neuromuscular modelling

Definitions

Skeletal muscle modelling focuses on developing computer models capable of predicting the deformations and the exerted forces of a skeletal muscle that is activated through neural stimulation.

Background

In contrast to smooth or cardiac muscles, skeletal muscles have the capability to contract upon neural stimulation in a voluntary fashion. This characteristic together with the presence of joints and a rather rigid skeleton, to which skeletal muscles are typically attached via tendons, builds the basis for the voluntary and controlled motion of our body. Understanding and modelling the motion of the body is one of the oldest goals in the field of biomechanics. The key to understanding motion is to understand how muscles work – in particular how muscles generate force and how much force an individual muscle exerts upon stimulation. While...

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References

  • Bradley CP, Bowery A, Britten R, Budelmann V, Camara O, Christie R, Cookson A, Frangi AF, Gamage T, Heidlauf T, Krittian S, Ladd D, Little C, Mithraratne K, Nash M, Nickerson D, Nielsen P, NordbøO, Omholt S, Pashaei A, Paterson D, Rajagopal V, Reeve A, Röhrle O, Safaei S, Sebastián R, Steghöfer M, Wu T, Yu T, Zhang H, Hunter PJ (2011) OpenCMISS: a multi-physics & multi-scale computational infrastructure for the VPH/Physiome project. Prog Biophys Mol Biol 107:32–47. https://doi.org/10.1016/j.pbiomolbio.2011.06.015

    Article  Google Scholar 

  • Hill AV (1938) The heat of shortening and the dynamic constants of muscle. Proc R Soc Lond B Biol Sci 126(843):136–195

    Article  Google Scholar 

  • Johansson T, Meier P, Blickhan R (2000) A finite-element model for the mechanical analysis of skeletal muscles. J Theor Biol 206(1):131–149

    Article  Google Scholar 

  • Röhrle O, Davidson JB, Pullan AJ (2008) Bridging scales: a three-dimensional electromechanical finite element model of skeletal muscle. SIAM J Sci Comput 30(6):2882–2904. https://doi.org/10.1137/070691504

    Article  MathSciNet  Google Scholar 

  • Röhrle O, Davidson J, Pullan A (2012) A physiologically based, multi-scale model of skeletal muscle structure and function. Front Physiol 3:358. http://journal.frontiersin.org/article/10.3389/fphys.2012.00358

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Applied Mechanics (CE)/Continuum Biomechanics and Mechanobiology Research Group, Cluster of Excellence for Simulation Technology (SimTech), University of Stuttgart, Stuttgart, Germany

    Oliver Röhrle

Authors
  1. Oliver Röhrle
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Corresponding author

Correspondence to Oliver Röhrle .

Editor information

Editors and Affiliations

  1. Institut für Mechanik, Otto-von-Guericke-Universität Institut für Mechanik, Magdeburg, Germany

    Holm Altenbach

  2. Griffith University (Gold Coast Campus), Griffith School of Engineering Griffith University (Gold Coast Campus), Southport, Queensland, Australia

    Andreas Öchsner

Section Editor information

  1. Chair of Continuum Mechanics, Ruhr-University-Bochum, Bochum, Germany

    Daniel Balzani

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Röhrle, O. (2018). Skeletal Muscle Modelling. In: Altenbach, H., Öchsner, A. (eds) Encyclopedia of Continuum Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53605-6_39-1

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  • DOI: https://doi.org/10.1007/978-3-662-53605-6_39-1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53605-6

  • Online ISBN: 978-3-662-53605-6

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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