Beyond Hill-Type Models: Aligning Experiments and Modeling to Understand Dynamic Muscle Function
Abstract
Muscle models underpin how exercise, rehabilitation, and human-movement sciences infer muscle force during activity, yet profound gaps remain between traditional measures and models of muscle function and the dynamic features of muscle in natural movement. We review evidence for these gaps, highlight new experiments to bridge them, and suggest directions to improve models of dynamic muscle function. Summary: We propose reframing muscle as a dynamic mechanical system, integrating new experiments and models to predict function during natural movement.
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Authors: Caitlin Bemis, Ethan Wold, Tim van der Zee, Carissa Mallonee, Jenna Monroy, Jeffrey Olberding, Manny Azizi, Simon Sponberg, Daley Monica, Kiisa Nishikawa
Institutions: University of Chicago, KU Leuven, Georgia Institute of Technology, University of California, Irvine, Northern Arizona University, California State University, Fullerton, Scripps College