An Attachable Clothing Sensor System for Measuring Knee Joint Angles

An Attachable Clothing Sensor System for Measuring Knee Joint Angles
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DOI:
10.1109/jsen.2013.2277697
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发表时间:
2013-10-01
影响因子:
4.3
通讯作者:
McGregor, Alison
McGregor, Alison
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Bergmann, Jeroen H. M.;Anastasova-Ivanova, Salzitsa;McGregor, Alison

文献摘要

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可以集成到服装中以测量日常功能性能的柔性传感器是一个新兴概念。它旨在通过获取丰富的真实数据集来改善患者的生活质量。一个感兴趣的临床领域是使用这些传感器来准确测量膝关节运动,例如在运动中。例如,骨关节炎患者。目前,在实验室外使用各种方法来正式计算关节运动,其中包括电动测角仪和惯性测量装置。然而,这些技术的使用往往受到限制,因为它们通常体积庞大且引人注目。这直接影响了它们的临床效用,因为患者和临床医生可能不愿意采用它们。本文的目的是介绍以患者为中心、临床驱动的可用于评估膝关节运动的可附加衣服传感器 (ACS) 系统的开发过程。我们对 10 名志愿者进行了一项试点研究,以确定 ACS 系统与金标准设备之间的关系。通过比较,两个系统之间的平均均方根误差接近 1 度,平均绝对误差接近 3 度,确定系数高于 (R-2) 0.99。这些初步结果显示了 ACS 在不引人注目的长期监测方面的潜力。
Flexible sensors that can be integrated into clothing to measure everyday functional performance is an emerging concept. It aims to improve the patient's quality of life by obtaining rich, real-life data sets. One clinical area of interest is the use of these sensors to accurately measure knee motion in, e. g., osteoarthritic patients. Currently, various methods are used to formally calculate joint motion outside of the laboratory and they include electrogoniometers and inertial measurement units. The use of these technologies, however, tends to be restricted, since they are often bulky and obtrusive. This directly influences their clinical utility, as patients and clinicians can be reluctant to adopt them. The goal of this paper is to present the development process of a patient centered, clinically driven design for an attachable clothing sensor (ACS) system that can be used to assess knee motion. A pilot study using 10 volunteers was conducted to determine the relationship between the ACS system and a gold standard apparatus. The comparison yielded an average root mean square error of similar to 1 degrees, a mean absolute error of similar to 3 degrees, and coefficient of determination above (R-2) 0.99 between the two systems. These initial results show potential of the ACS in terms of unobtrusive long-term monitoring.