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使用Kinect v2对肩部活动范围和手臂运动平滑度进行数字数据采集。

Digital data acquisition of shoulder range of motion and arm motion smoothness using Kinect v2.

作者信息

Zulkarnain Rizki Fajar, Kim Ga-Yeong, Adikrishna Arnold, Hong Han Pyo, Kim Yoon Jeong, Jeon In-Ho

机构信息

Department of Orthopaedic Surgery, Asan Medical Center, University of Ulsan, Seoul, Republic of Korea.

Department of Orthopaedic Surgery, Asan Medical Center, University of Ulsan, Seoul, Republic of Korea.

出版信息

J Shoulder Elbow Surg. 2017 May;26(5):895-901. doi: 10.1016/j.jse.2016.10.026. Epub 2017 Jan 25.

Abstract

BACKGROUND

Range of motion (ROM) is a clinically important parameter in evaluating joint function. However, dynamic evaluation to determine the quality of the arm motion using digitized measurement is often overlooked during clinical assessment. We evaluated the accuracy of Kinect v2 (Microsoft, Redmond, WA, USA) as a digital tool for measuring shoulder ROM objectively and proposed a concept of motion smoothness reflecting the quality of arm motion.

METHODS

Ten male participants were included in a 2-stage experiment. First, shoulder ROM was measured in 4 static poses (flexion, abduction, external rotation, and internal rotation) with Kinect v2, a 3-dimensional (3D) motion analysis system, and goniometry. Second, participants performed a point-to-point arm motion as naturally as possible. Kinematic data were collected with Kinect v2 and the 3D motion analysis system and then postprocessed to acquire parameters related to motion smoothness, including peak to mean velocity ratio, acceleration to movement time ratio, and number of peaks.

RESULTS

Kinect v2 resulted in very good agreement of ROM measurement (r > 0.9) with the 3D motion analysis (95% limits of agreement < ±8°) compared with goniometry (95% limits of agreement < ±10°). Kinect v2 also showed a good correlation and agreement of measurement of motion quality parameters compared with the 3D motion analysis (peak to mean velocity ratio, acceleration to movement time ratio, and number of peaks: r = 0.769, discrepancy = ±0.1; r = 0.922, discrepancy = ±5%; and mean = 1 ± 0, respectively).

CONCLUSIONS

We show that Kinect v2 can be used as a reliable tool to measure shoulder ROM and arm motion smoothness.

摘要

背景

活动范围(ROM)是评估关节功能的一项重要临床参数。然而,在临床评估过程中,利用数字化测量来动态评估手臂运动质量的方法常常被忽视。我们评估了Kinect v2(美国华盛顿州雷德蒙德市微软公司)作为客观测量肩部ROM的数字工具的准确性,并提出了反映手臂运动质量的运动平滑度概念。

方法

10名男性参与者纳入一项两阶段实验。首先,使用Kinect v2、三维(3D)运动分析系统和角度测量法在4种静态姿势(屈曲、外展、外旋和内旋)下测量肩部ROM。其次,参与者尽可能自然地进行点对点手臂运动。用Kinect v2和3D运动分析系统收集运动学数据,然后进行后处理以获取与运动平滑度相关的参数,包括峰均速度比、加速度与运动时间比以及峰值数量。

结果

与角度测量法(95%一致性界限<±10°)相比,Kinect v2测量的ROM与3D运动分析结果具有很好的一致性(r>0.9)(95%一致性界限<±8°)。与3D运动分析相比,Kinect v2在运动质量参数测量方面也显示出良好的相关性和一致性(峰均速度比、加速度与运动时间比以及峰值数量:r = 0.769,差异=±0.1;r = 0.922,差异=±5%;平均值分别为1±0)。

结论

我们表明Kinect v2可作为测量肩部ROM和手臂运动平滑度的可靠工具。

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