Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait
Author:
Affiliation:
1. Department of Movement Sciences, KU Leuven, Leuven, Flanders, Belgium
2. Department of Bioengineering, Stanford University, Stanford, CA, USA
Abstract
Funder
KU Leuven internal funds
Publisher
The Royal Society
Subject
General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2020.2432
Reference73 articles.
1. OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
2. Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies
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4. Computer optimization of a minimal biped model discovers walking and running
5. Multiple Walking Speed–frequency Relations are Predicted by Constrained Optimization
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