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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 517287, 14 pages
Research Article

Modeling the Chemoelectromechanical Behavior of Skeletal Muscle Using the Parallel Open-Source Software Library OpenCMISS

1Universität Stuttgart, Institut für Mechanik (Bauwesen), Lehrstuhl II, Pfaffenwaldring 7, 70569 Stuttgart, Germany
2Stuttgart Research Centre for Simulation Technology, Pfaffenwaldring 5a, 70569 Stuttgart, Germany

Received 25 July 2013; Revised 28 August 2013; Accepted 13 September 2013

Academic Editor: Eduardo Soudah

Copyright © 2013 Thomas Heidlauf and Oliver Röhrle. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An extensible, flexible, multiscale, and multiphysics model for nonisometric skeletal muscle behavior is presented. The skeletal muscle chemoelectromechanical model is based on a bottom-up approach modeling the entire excitation-contraction pathway by strongly coupling a detailed biophysical model of a half-sarcomere to the propagation of action potentials along skeletal muscle fibers and linking cellular parameters to a transversely isotropic continuum-mechanical constitutive equation describing the overall mechanical behavior of skeletal muscle tissue. Since the multiscale model exhibits separable time scales, a special emphasis is placed on employing computationally efficient staggered solution schemes. Further, the implementation builds on the open-source software library OpenCMISS and uses state-of-the-art parallelization techniques taking advantage of the unique anatomical fiber architecture of skeletal muscles. OpenCMISS utilizes standardized data structures for geometrical aspects (FieldML) and cellular models (CellML). Both standards are designed to allow for a maximum flexibility, reproducibility, and extensibility. The results demonstrate the model’s capability of simulating different aspects of nonisometric muscle contraction and efficiently simulating the chemoelectromechanical behavior in complex skeletal muscles such as the tibialis anterior muscle.