A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing

被引:4
|
作者
Heinrich, Dieter [1 ]
van den Bogert, Antonie J. [2 ]
Csapo, Robert [3 ]
Nachbauer, Werner [1 ]
机构
[1] Univ Innsbruck, Dept Sport Sci, Innsbruck, Austria
[2] Cleveland State Univ, Dept Mech Engn, Cleveland, OH 44115 USA
[3] Univ Hlth Sci Med Informat & Technol, Dept Orthoped Sports Med & Injury Prevent, Hall In Tirol, Austria
关键词
ACL injuries; musculoskeletal simulation; optimal control; muscle activation; ANTERIOR CRUCIATE LIGAMENT; MUSCULOSKELETAL SIMULATION; VIDEO ANALYSIS; IN-VITRO; KNEE; INJURY; MUSCLE; MECHANISMS; KINEMATICS; ELECTROMYOGRAPHY;
D O I
10.1080/10255842.2020.1842376
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:612 / 622
页数:11
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