Journal article
Predictive Simulations of Human Sprinting: Effects of Muscle-Tendon Properties on Sprint Performance
YC Lin, MG Pandy
Medicine and Science in Sports and Exercise | LIPPINCOTT WILLIAMS & WILKINS | Published : 2022
Abstract
Purpose We combined a full-body musculoskeletal model with dynamic optimization theory to predict the biomechanics of maximum-speed sprinting and evaluate the effects of changes in muscle-tendon properties on sprint performance. Methods The body was modeled as a three-dimensional skeleton actuated by 86 muscle-tendon units. A simulation of jogging was used as an initial guess to generate a predictive dynamic optimization solution for maximum-speed sprinting. Nominal values of lower-limb muscle strength, muscle fascicle length, muscle intrinsic maximum shortening velocity (fiber-type composition), and tendon compliance were then altered incrementally to study the relative influence of each pr..
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Awarded by Australian Research Council
Funding Acknowledgements
This study was supported in part by a Discovery Projects Grant from the Australian Research Council (DP160104366) to M. G. P. The authors thank Dr. Anthony Schache for his comments on a previous version of this article. The authors declare no competing or financial interests. The results of the present study do not constitute endorsement by the American College of Sports Medicine. The results of this study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation.