Synergies Controls Improve Prediction of Knee Contact Forces and Muscle Excitations during Gait
XIV International Symposium on Computer Simulation in Biomechanics
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.
Copyright © 2013, Technical Group on Computer Simulation
Technical Group on Computer Simulation
Place of Publication
National Institutes of Health
Fregly, Benjamin J.; Walter, Jonathan P.; Kinney, Allison; Banks, Scott A.; D'Lima, Darryl D.; Besier, Thor F.; and Lloyd, David G., "Synergies Controls Improve Prediction of Knee Contact Forces and Muscle Excitations during Gait" (2013). Mechanical and Aerospace Engineering Faculty Publications. 17.
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NIH grant R01EB009351 funded this study.