Eberle R, Heinrich D, van den Bogert A J, Oberguggenberger M, Nachbauer W
a Unit for Engineering Mathematics, Department of Engineering Science , University of Innsbruck , Innsbruck , Austria.
b Department of Sport Science , University of Innsbruck , Innsbruck , Austria.
Comput Methods Biomech Biomed Engin. 2019 Jan;22(1):3-10. doi: 10.1080/10255842.2018.1522534. Epub 2018 Nov 6.
ACL-injuries are one of the most common knee injuries in noncontact sports. Kinematic data of injury prone situations provide important information to study the underlying ACL-injury mechanisms. However, these data are rare. In this work an approach is presented to generate injury prone situations for noncontact ACL-injuries on a computer. The injury prone situations are generated by a musculoskeletal simulation model using kinematic data of a non-injury situation and the method of Monte Carlo simulation. The approach is successfully applied to generate injury prone landings in downhill ski racing. The characteristics of the obtained injury prone landings are consistent with video recordings of injury cases.
前交叉韧带损伤是非接触性运动中最常见的膝关节损伤之一。易受伤情况的运动学数据为研究潜在的前交叉韧带损伤机制提供了重要信息。然而，这些数据很罕见。在这项工作中，提出了一种在计算机上生成非接触性前交叉韧带损伤易受伤情况的方法。易受伤情况由肌肉骨骼模拟模型使用非损伤情况的运动学数据和蒙特卡罗模拟方法生成。该方法已成功应用于生成下坡滑雪比赛中易受伤的着陆情况。所获得的易受伤着陆情况的特征与损伤案例的视频记录一致。
