AI Article Synopsis
- Jump landing often results in knee injuries, particularly affecting the anterior cruciate ligament (ACL) in athletes.
- While neuromuscular control plays a crucial role in injury risk, there is limited understanding of effective strategies to reduce ACL forces during these landings.
- This study introduces a computational model to identify optimal neuromuscular control patterns that can minimize ACL forces, specifically focusing on jump landings in downhill skiing, a significant injury risk during the sport.
Article Abstract
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.
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| http://dx.doi.org/10.1080/10255842.2020.1842376 | DOI Listing |
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