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Article
Synergies Controls Improve Prediction of Knee Contact Forces and Muscle Excitations during Gait
XIV International Symposium on Computer Simulation in Biomechanics
  • Benjamin J. Fregly, University of Florida
  • Jonathan P. Walter, University of Florida
  • Allison Kinney, University of Dayton
  • Scott A. Banks, University of Florida
  • Darryl D. D'Lima, Scripps Clinic
  • Thor F. Besier, University of Auckland
  • David G. Lloyd, Griffith University
Document Type
Conference Paper
Publication Date
8-1-2013
Abstract
This study investigates whether use of muscle excitation controls constructed from subjectspecific muscle synergy information can improve optimization prediction of knee contact forces and muscle excitations during walking. Muscle synergies quantify how a large number of experimental muscle electromyographic (EMG) signals can be reconstructed by linearly mixing a much smaller number of neural commands generated by the nervous system. Our hypothesis was that controlling all muscle excitations with a small set of experimentally calculated neural commands would improve prediction of knee contact forces and leg muscle excitations compared to using independently controlled muscle excitations.
Inclusive pages
40-41
Document Version
Published Version
Comments

The document available for download is the authors' published abstract, posted here pending permission. Permission documentation is on file.

NIH grant R01EB009351 funded this study.

Publisher
Technical Group on Computer Simulation
Place of Publication
Natal, Brazil
Peer Reviewed
Yes
Citation Information
Benjamin J. Fregly, Jonathan P. Walter, Allison Kinney, Scott A. Banks, et al.. "Synergies Controls Improve Prediction of Knee Contact Forces and Muscle Excitations during Gait" XIV International Symposium on Computer Simulation in Biomechanics (2013)
Available at: http://works.bepress.com/allison_kinney/21/