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Design of a Low-Cost, Wearable Device for Kinematic Analysis in Physical Therapy Settings.
Methods of Information in Medicine ( IF 1.7 ) Pub Date : 2020-06-14 , DOI: 10.1055/s-0040-1710380
Andrew Hua 1 , Nicole Johnson 2 , Joshua Quinton 3 , Pratik Chaudhary 4 , David Buchner 1 , Manuel E Hernandez 1
Affiliation  

Abstract

Unsupervised home exercise is a major component of physical therapy (PT). This study proposes an inexpensive, inertial measurement unit-based wearable device to capture kinematic data to facilitate exercise. However, conveying and interpreting kinematic data to non-experts poses a challenge due to the complexity and background knowledge required that most patients lack.

Objectives The objectives of this study were to identify key user interface and user experience features that would likely improve device adoption and assess participant receptiveness toward the device.

Methods Fifty participants were recruited to perform nine upper extremity exercises while wearing the device. Prior to exercise, participants completed an orientation of the device, which included examples of software graphics with exercise data. Surveys that measured receptiveness toward the device, software graphics, and ergonomics were given before and after exercise.

Results Participants were highly receptive to the device with 90% of the participants likely to use the device during PT. Participants understood how the simple kinematic data could be used to aid exercise, but the data could be difficult to comprehend with more complex movements. Devices should incorporate wireless sensors and emphasize ease of wear.

Conclusion Device-guided home physical rehabilitation can allow for individualized treatment protocols and improve exercise self-efficacy through kinematic analysis. Future studies should implement clinical testing to evaluate the impact a wearable device can have on rehabilitation outcomes.



中文翻译:

物理治疗环境中运动分析的低成本,可穿戴设备的设计。

摘要

无监督的家庭锻炼是物理治疗(PT)的主要组成部分。这项研究提出了一种便宜的,基于惯性测量单元的可穿戴设备来捕获运动学数据以促进锻炼。然而,由于大多数患者所缺乏的复杂性和背景知识,向非专家传达和解释运动学数据带来了挑战。

目标 这项研究的目的是确定可能改善设备采用率的关键用户界面和用户体验功能,并评估参与者对设备的接受度。

方法 招募五十名参与者,在佩戴该装置时进行九次上肢锻炼。在锻炼之前,参与者完成了设备的定位,其中包括带有锻炼数据的软件图形的示例。运动前和运动后进行了测量,以测量对设备,软件图形和人体工程学的接受度。

结果 参与者对设备的接受程度很高,其中90%的参与者很可能在PT期间使用设备。参加者了解了如何使用简单的运动学数据来辅助锻炼,但可能难以理解更复杂的运动。设备应包含无线传感器,并强调易于佩戴。

结论 设备指导的家庭物理康复可以通过运动学分析实现个性化的治疗方案并提高运动的自我效能。未来的研究应实施临床测试,以评估可穿戴设备对康复结果的影响。

更新日期:2020-06-14
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