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Abstract

Abstract

The subacromial impingement syndrome is a high-incidence injury for cross-country sit-skiing skier, which is often accompanied by muscle imbalance. However, at present, no musculoskeletal model has been identified for this sport. Thus, this research aimed to establish a bilateral upper extremity trunk (BUET) musculoskeletal model suitable for cross-country sit-skiing based on OpenSim software and verify the function of the model. By splicing three existing OpenSim models, an upper limb model with 17 segments, 35 degrees of freedom, and 472 musculotendon actuators was established. The clavicle and scapula were modeled as individual bodies and then connected to the torso through a three-degrees-of-freedom rotational joint and to the clavicle through a weld joint, respectively. The five lumbar vertebrae were established separately and coupled into a three-degree-of-freedom joint. Kinematics, kinetic, and EMG signal data of five 15-s maximal effort interval tests were obtained by using seven cameras, ergometers, and surface EMG synchronous collection. Based on the resulting rotator cuff muscle geometry of the model, simulated muscle activation patterns were comparable to experimental data, and muscle-driven ability was proven. The model will be available online (https://simtk.org/projects/bit) for researchers to study the muscle activation of shoulder joint movement.

Details

Title
Bilateral upper extremity trunk model for cross-country sit-skiing double poling propulsion: model development and validation
Author
Chen, Xue 1 ; Huang, Yi 1 ; Jiang, Liang 1 ; Sun, Qing 1 ; Tian, Yuan 2 ; Zhou, Zhixiong 2 ; Yin, Jun 2 ; Gao, Yan 1 ; Liu, Chenglin 2 ; Huo, Bo 3   VIAFID ORCID Logo 

 Beijing Institute of Technology, Biomechanics Lab, Department of Mechanics, School of Aerospace Engineering, Beijing, People’s Republic of China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246) 
 Capital University of Physical Education and Sports, Sports Artificial Intelligence Institute, Beijing, People’s Republic of China (GRID:grid.440659.a) (ISNI:0000 0004 0561 9208) 
 Beijing Institute of Technology, Biomechanics Lab, Department of Mechanics, School of Aerospace Engineering, Beijing, People’s Republic of China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246); Capital University of Physical Education and Sports, Sports Artificial Intelligence Institute, Beijing, People’s Republic of China (GRID:grid.440659.a) (ISNI:0000 0004 0561 9208) 
Pages
445-455
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
ISSN
01400118
e-ISSN
17410444
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2766899999
Copyright
© International Federation for Medical and Biological Engineering 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.