Literature DB >> 15869895

Modelling the passive and nerve activated response of the rectus femoris muscle to a flexion loading: a finite element framework.

J W Fernandez1, M L Buist, D P Nickerson, P J Hunter.   

Abstract

A muscle modelling framework is presented which relates the mechanical response of the rectus femoris muscle (at the organ level) to tissue level properties, with the capability of linking to the cellular level as part of the IUPS Physiome Project. This paper will outline our current approach to muscle modelling incorporating micro-structural passive and active properties including fibre orientations and nerve innervation. The technique is based on finite deformation (using FE analysis) coupled to electrical nerve initiated muscle activation, and we present the influence of active tension through an eccentric contraction at specific flexion angles. Finally we discuss the future goals of incorporating cell mechanics and validating at the organ level to provide a complete diagnostic tool with the ability to relate mechanisms of failure across spatial scales.

Mesh:

Year:  2005        PMID: 15869895     DOI: 10.1016/j.medengphy.2005.03.009

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  9 in total

1.  The influence of prior hamstring injury on lengthening muscle tissue mechanics.

Authors:  Amy Silder; Scott B Reeder; Darryl G Thelen
Journal:  J Biomech       Date:  2010-05-15       Impact factor: 2.712

Review 2.  Towards a virtual lung: multi-scale, multi-physics modelling of the pulmonary system.

Authors:  K S Burrowes; A J Swan; N J Warren; M H Tawhai
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-09-28       Impact factor: 4.226

3.  Systems biology and physiome projects.

Authors:  Aleksander S Popel; Peter J Hunter
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Sep-Oct

4.  Imaging two-dimensional displacements and strains in skeletal muscle during joint motion by cine DENSE MR.

Authors:  Xiaodong Zhong; Frederick H Epstein; Bruce S Spottiswoode; Patrick A Helm; Silvia S Blemker
Journal:  J Biomech       Date:  2008-01-03       Impact factor: 2.712

5.  A physiologically based, multi-scale model of skeletal muscle structure and function.

Authors:  O Röhrle; J B Davidson; A J Pullan
Journal:  Front Physiol       Date:  2012-09-13       Impact factor: 4.566

6.  A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements.

Authors:  Thomas Heidlauf; Oliver Röhrle
Journal:  Front Physiol       Date:  2014-12-23       Impact factor: 4.566

7.  Musculoskeletal Modeling of the Lumbar Spine to Explore Functional Interactions between Back Muscle Loads and Intervertebral Disk Multiphysics.

Authors:  Themis Toumanidou; Jérôme Noailly
Journal:  Front Bioeng Biotechnol       Date:  2015-08-05

8.  Modeling the chemoelectromechanical behavior of skeletal muscle using the parallel open-source software library OpenCMISS.

Authors:  Thomas Heidlauf; Oliver Röhrle
Journal:  Comput Math Methods Med       Date:  2013-11-17       Impact factor: 2.238

Review 9.  Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.

Authors:  Reed D Gurchiek; Nick Cheney; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

  9 in total

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