A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing
Jump landing is a common situation leading to knee injuries involving the anterior cruciate ligament (ACL) in sports. Although neuromuscular control is considered as a key injury risk factor, there is a lack of knowledge regarding optimum control strategies that reduce ACL forces during jump landing. In the present study, a musculoskeletal model-based computational approach is presented that allows identifying neuromuscular control patterns that minimize ACL forces during jump landing. The approach is demonstrated for a jump landing maneuver in downhill skiing, which is one out of three main injury mechanisms in competitive skiing.
© Copyright 2020 Computer Methods in Biomechanics and Biomedical Engineering. Taylor & Francis. All rights reserved.
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| Notations: | biological and medical sciences strength and speed sports |
| Published in: | Computer Methods in Biomechanics and Biomedical Engineering |
| Language: | English |
| Published: |
2020
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| Online Access: | https://www.tandfonline.com/doi/full/10.1080/10255842.2020.1842376 |
| Volume: | 24 |
| Issue: | 6 |
| Pages: | 612-622 |
| Document types: | article |
| Level: | advanced |