Zhang Bai-Rong, Liu Tao, Zhang Ming-Tao, Yang Zhi-Tao, Liang Jun-Wen, Wang Xi-Hao, Zhang Cheng-Jun, Yun Xiang-Dong
Department of Orthopaedics, the Second Hospital of Lanzhou University, Lanzhou 730030, Gansu, China.
Department of Orthopaedics, the Second Hospital of Lanzhou University, Lanzhou 730030, Gansu, China; Key Laboratory of Bone and Joint Disease of Gansu Province, Lanzhou 730030, Gansu, China.
Zhongguo Gu Shang. 2023 Jun 25;36(6):591-6. doi: 10.12200/j.issn.1003-0034.2023.06.018.
The shoulder joint is the most flexible joint in the body with the largest range of motion, and the movement pattern is more complex. Accurate capture of three-dimensional motion data of the shoulder joint is crucial for biomechanical evaluation. Optical motion capture systems offer a non-invasive and radiation-free method to capture shoulder joint motion data during complex movements, enabling further biomechanical analysis of the shoulder joint. This review provides a comprehensive overview of optical motion capture technology in the context of shoulder joint movement, including measurement principles, data processing methods to reduce artifacts from skin and soft tissues, factors influencing measurement results, and applications in shoulder joint disorders.
肩关节是人体中最灵活的关节，活动范围最大，其运动模式更为复杂。精确捕捉肩关节的三维运动数据对于生物力学评估至关重要。光学运动捕捉系统提供了一种非侵入性且无辐射的方法，用于在复杂运动过程中捕捉肩关节运动数据，从而能够对肩关节进行进一步的生物力学分析。本文综述在肩关节运动背景下对光学运动捕捉技术进行了全面概述，包括测量原理、减少皮肤和软组织伪影的数据处理方法、影响测量结果的因素以及在肩关节疾病中的应用。
