Cain Stephen M, Morrow Melissa M B
Department of Chemical and Biomedical Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, USA.
Department of Physical Therapy and Rehabilitation Sciences, Center for Health Promotion, Performance, and Rehabilitation Research, School of Health Professions, University of Texas Medical Branch, Galveston, TX, USA.
J Biomech. 2025 Mar;182:112589. doi: 10.1016/j.jbiomech.2025.112589. Epub 2025 Feb 17.
Understanding function and dysfunction of the shoulder may be best addressed by capturing the motion of the shoulder in the unstructured, free-living environment where the magnitudes and frequencies of required daily motion can be quantified. Miniaturized wearable inertial measurement units (IMUs) enable measurement of shoulder motion in the free-living environment; however, there are challenges in using IMU-based data to estimate traditionally used measures of shoulder motion from lab-based motion capture. There are limited options for IMU placement/fixation that minimize soft tissue effects and there are significant challenges in developing the algorithms that can accurately estimate shoulder joint angles from IMU measurements of acceleration and angular velocity. In an effort to collate current knowledge and highlight solutions to addressable challenges, in this paper, we report the results of a focused search of research articles using IMUS for kinematic measurements of the shoulder in the free-living environment, discuss the basic steps required for quantifying shoulder motion in the non-laboratory field-based setting using wearable IMUs, and we discuss the challenges that must be overcome in the context of the shoulder joint and the literature review. Finally, we suggest some IMU-based measures that are less sensitive to experimental design and algorithm choices, make recommendations for the information documented in manuscripts describing studies that use IMUs to quantify shoulder motion, and propose directions for future research.
了解肩部的功能与功能障碍,最好的方法可能是在非结构化的自由生活环境中捕捉肩部的运动,在这种环境中,日常所需运动的幅度和频率可以被量化。小型可穿戴惯性测量单元(IMU)能够在自由生活环境中测量肩部运动;然而,使用基于IMU的数据来估计传统上通过实验室运动捕捉获得的肩部运动测量值存在挑战。用于最小化软组织影响的IMU放置/固定选项有限,并且在开发能够从加速度和角速度的IMU测量中准确估计肩关节角度的算法方面存在重大挑战。为了整理当前的知识并突出解决可应对挑战的方案,在本文中,我们报告了使用IMU在自由生活环境中对肩部进行运动学测量的研究文章的重点搜索结果,讨论了在基于非实验室现场的环境中使用可穿戴IMU量化肩部运动所需的基本步骤,并在肩关节和文献综述的背景下讨论了必须克服的挑战。最后,我们提出了一些对实验设计和算法选择不太敏感的基于IMU的测量方法,对描述使用IMU量化肩部运动的研究的手稿中记录的信息提出建议,并提出未来研究的方向。