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用于量化腕关节活动范围的电子角度计相对于光学运动跟踪的准确性。

Accuracy of an electrogoniometer relative to optical motion tracking for quantifying wrist range of motion.

作者信息

McHugh Brian P, Morton Amy M, Akhbari Bardiya, Molino Janine, Crisco Joseph J

机构信息

Center for Biomedical Engineering, Brown University, Providence, RI, USA.

Bioengineering Laboratory, Department of Orthopaedics, The Warren Alpert Medical School of Brown University and Rhode Island Hospital, Providence, RI, USA.

出版信息

J Med Eng Technol. 2020 Feb;44(2):49-54. doi: 10.1080/03091902.2020.1713240. Epub 2020 Jan 30.

Abstract

Methods for capturing wrist range of motion (RoM) vary in complexity, cost, and sensitivity. Measures by manual goniometer, though an inexpensive modality, provide neither dynamic nor objective motion data. Conversely, optical motion capture systems are widely used in three-dimensional scientific motion capture studies but are complex and expensive. The electrogoniometer bridges the gap between portability and objective measurement. Our study aims to evaluate the accuracy of a 2 degree of freedom electrogoniometer using optical motion capture as the reference for in vivo wrist motion. First, a mechanical system constructed from two plastic pipes and a universal joint mimicked a human wrist to assess the inherent accuracy of the electrogoniometer. Simulations of radial/ulnar deviation (R/U), flexion/extension (F/E) and circumduction were evaluated. Second, six subjects performed three RoM tasks of R/U deviation, F/E, and circumduction for evaluation of the in vivo accuracy. Bland-Altman analysis quantified the accuracy. The mechanical experiment reported greater accuracy than the in vivo study with mean difference values less than ±1°. The in vivo accuracy varied across RoM tasks, with mean differences greatest in the F/E task (7.2°). Smaller mean differences values were reported in the R/U deviation task (-0.8°) and the circumduction task (1.2°).

摘要

测量腕关节活动范围(RoM)的方法在复杂性、成本和灵敏度方面各不相同。使用手动测角器进行测量,虽然是一种成本低廉的方式,但既无法提供动态运动数据,也不具备客观性。相反,光学运动捕捉系统广泛应用于三维科学运动捕捉研究中,但该系统复杂且昂贵。电子测角器弥补了便携性与客观测量之间的差距。我们的研究旨在以光学运动捕捉作为体内腕关节运动的参考,评估一种两自由度电子测角器的准确性。首先,构建一个由两根塑料管和一个万向节组成的机械系统来模拟人类手腕,以评估电子测角器的固有准确性。对桡偏/尺偏(R/U)、屈伸(F/E)和环转进行了模拟评估。其次,六名受试者进行了R/U偏斜、F/E和环转这三项RoM任务,以评估体内准确性。Bland-Altman分析对准确性进行了量化。机械实验报告的准确性高于体内研究,平均差值小于±1°。体内准确性在不同的RoM任务中有所不同,F/E任务中的平均差值最大(7.2°)。R/U偏斜任务(-0.8°)和环转任务(1.2°)的平均差值较小。

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Coupling between wrist flexion-extension and radial-ulnar deviation.腕关节屈伸与桡尺偏斜之间的耦合。
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