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设计并验证一种新型 3D 打印可穿戴设备,用于监测膝关节运动学。

Design and validation of a novel 3D-printed wearable device for monitoring knee joint kinematics.

机构信息

School of Engineering, University of Guelph, 50 Stone Rd East, Guelph, Ontario, Canada, N1G 2W1.

出版信息

Med Eng Phys. 2021 Aug;94:1-7. doi: 10.1016/j.medengphy.2021.05.013. Epub 2021 May 25.

Abstract

Gait analysis provides an important tool for the study and clinical evaluation of conditions which affect knee joint biomechanics. Collection of knee joint kinematics in real world environments during locomotor activities of daily living could provide quantitative evidence to help understand functional impairment. Unfortunately, the high cost and necessary technical expertise associated with current commercially available systems for kinematic monitoring serve as an impediment to their adoption outside of specialized research groups. We have developed a low-cost, custom wearable device to address these shortcomings. The 3D printed device is capable of measuring knee flexion/extension (F/E) and adduction/abduction (AD/AB) angles. Here, we present a gold standard validation of the novel device against an optoelectronic motion capture system (MCS). Data were collected during a treadmill walking task from 8 participants on 2 separate occasions. Agreement with the MCS was quantified via root mean squared error (RMSE), coefficients of multiple correlation (CMC), paired dependent t-tests and Bland-Altman analyses. The wearable device had an overall RMSE of 3.0° and 2.7° and a CMC of 0.97 and 0.91 in F/E and AD/AB respectively. Wearable device error showed no significant differences between test occasions, and Bland-Altman analyses showed low bias with narrow limits of agreement. These results demonstrate the capability of the device to accurately and reliably monitor knee F/E and AD/AB angles showing strong potential for field implementation.

摘要

步态分析为研究和临床评估影响膝关节生物力学的各种情况提供了重要工具。在日常活动中的运动活动中,在真实环境中收集膝关节运动学数据,可以提供有助于理解功能障碍的定量证据。不幸的是,目前市场上用于运动监测的商用系统成本高且需要专业技术知识,这限制了它们在专门研究小组之外的应用。我们已经开发了一种低成本的定制可穿戴设备来解决这些问题。该 3D 打印设备能够测量膝关节的屈伸(F/E)和内收/外展(AD/AB)角度。在这里,我们根据光电运动捕捉系统(MCS)对新型设备进行了黄金标准验证。在两次不同的跑步机行走任务中,从 8 名参与者中收集了数据。通过均方根误差(RMSE)、多重相关系数(CMC)、配对的 t 检验和 Bland-Altman 分析来量化与 MCS 的一致性。该可穿戴设备的整体 RMSE 在 F/E 和 AD/AB 方面分别为 3.0°和 2.7°,CMC 为 0.97 和 0.91。可穿戴设备的误差在测试时无明显差异,Bland-Altman 分析显示偏差较小,一致性界限较窄。这些结果表明该设备能够准确可靠地监测膝关节 F/E 和 AD/AB 角度,具有在现场实施的巨大潜力。

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