SimTK: A predictive model of muscle excitations based on muscle modularity: Downloads

A predictive model of muscle excitations based on muscle modularity

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Downloads

Currently a C++ of the software is being maintain as a git repository in Bitbucket. You can fork the git repository at: https://bitbucket.org/jegonz/mep_class/ Also, for an example of how the MEP_class can be used a demo is being maintained as a git repository in Bitbucket. You can fork the git repository at: https://bitbucket.org/jegonz/mep_demo/

MEP_class

A C++ class can be accessed through the git repository: https://jegonz@bitbucket.org/jegonz/mep_class.git Also a demo of how to use the class can be found at: https://jegonz@bitbucket.org/jegonz/mep_demo.git

MEP_class

Nov 29, 2015

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MEP_class (URL)

Nov 29, 2015

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Source code

PLEASE CITE THESE PAPERS

Gonzalez-Vargas J, Sartori M, Dosen S, Torricelli D, Pons JL and Farina D (2015) A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions. Front. Comput. Neurosci. 9:114. doi: 10.3389/fncom.2015.00114 (2015) View

SimTK is maintained through Grant R01GM124443 01A1 from the National Institutes of Health (NIH). It was initially developed as part of the Simbios project funded by the NIH as part of the NIH Roadmap for Medical Research, Grant U54 GM072970.

Version 4.2.2. Website design by Viewfarm. Icons created by SimTK team using art by GraphBerry from www.flaticon.com under a CC BY 3.0 license. Forked from FusionForge 6.0.5.