A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing. Issue 6 (12th November 2020)

• Record Type: Journal Article
• Authors: Heinrich, Dieter; van den Bogert, Antonie J.; Csapo, Robert; Nachbauer, Werner
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 24:Issue 6(2021)
• Page Start: 612
• Page End: 622
• Publication Date: 2020-11-12
• Subjects: ACL injuries -- musculoskeletal simulation -- optimal control -- muscle activation; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2020.1842376
• Languages: English
• ISSNs: 1025-5842

Abstract

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.