Department of Sport Science, University of Innsbruck, Innsbruck, Austria.
Department of Mechanical Engineering, Cleveland State University, Cleveland, OH, USA.
Comput Methods Biomech Biomed Engin. 2021 May;24(6):612-622. doi: 10.1080/10255842.2020.1842376. Epub 2020 Nov 13.
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.
跳跃落地是导致运动中前交叉韧带（ACL）受伤的常见情况。尽管神经肌肉控制被认为是一个关键的受伤风险因素，但对于可以在跳跃落地时降低 ACL 力的最佳控制策略知之甚少。在本研究中，提出了一种基于肌肉骨骼模型的计算方法，该方法可以确定在跳跃落地时最小化 ACL 力的神经肌肉控制模式。该方法在高山滑雪的跳跃落地动作中进行了演示，这是竞技滑雪的三个主要受伤机制之一。
