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A musculoskeletal simulation study on the biomechanics of the lower extremity during the golf swing Cover

A musculoskeletal simulation study on the biomechanics of the lower extremity during the golf swing

Open Access
|May 2024

Abstract

Purpose: This study aimed to investigate the mechanisms of the human body dynamics during the golf swing through a musculoskeletal simulation for different types of subjects to better understand the biomechanical aspects of the golf sport.

Methods: The lower extremity model of the AnyBodyTM modeling system was adapted to an advanced knee model to capture the large knee axial rotations during golf swing using an inverse dynamic musculoskeletal approach. Swings performed by three golfers, one with apparent osteoarthritis in both knee joints, one with bilateral total knee arthroplasty and one healthy, were captured in a motion capture laboratory and simulated.

Results: The golf swing generated a high axial rotation in the knee joint (approximately 25–31°). Ball impact represented the most critical time event, near which maximum loading of the lower extremity was observed, e.g., knee compression force raised to a maximum of 329% body weight. The fast rate of knee loading by large compression forces prior to ball impact was identified as a potential cause of knee injury in golfers.

Conclusions: Our findings are comparable with previous experimental and computational studies, and the proposed musculoskeletal model can be employed to provide valuable information to clinicians and scientists, e.g., on the biomechanics of the lower extremities after total knee arthroplasty during golf swing.

DOI: https://doi.org/10.37190/abb-02316-2023-02 | Journal eISSN: 2450-6303 | Journal ISSN: 1509-409X
Language: English
Page range: 177 - 188
Submitted on: Sep 25, 2023
Accepted on: Jan 22, 2024
Published on: May 18, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Iman Soodmand, Maeruan Kebbach, Xiping Ren, Sven Bruhn, Thomas Tischer, Rainer Bader, Christoph Lutter, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.