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使用惯性测量单元对偏瘫患者的相对手臂使用情况进行量化。

Quantification of the relative arm use in patients with hemiparesis using inertial measurement units.

作者信息

David Ann, ReethaJanetSureka StephenSukumaran, Gayathri Sankaralingam, Annamalai Salai Jeyseelan, Samuelkamleshkumar Selvaraj, Kuruvilla Anju, Magimairaj Henry Prakash, Varadhan Skm, Balasubramanian Sivakumar

机构信息

Department of Applied Mechanics, Indian Institute of Technology, Madras, Tamil Nadu, India.

Department of Bioengineering, Christian Medical College (CMC) Vellore, Tamil Nadu, India.

出版信息

J Rehabil Assist Technol Eng. 2021 Jul 7;8:20556683211019694. doi: 10.1177/20556683211019694. eCollection 2021 Jan-Dec.

Abstract

INTRODUCTION

Accelerometry-based activity counting for measuring arm use is prone to overestimation due to non-functional movements. In this paper, we used an inertial measurement unit (IMU)-based gross movement (GM) score to quantify arm use.

METHODS

In this two-part study, we first characterized the GM by comparing it to annotated video recordings of 5 hemiparetic patients and 10 control subjects performing a set of activities. In the second part, we tracked the arm use of 5 patients and 5 controls using two wrist-worn IMUs for 7 and 3 days, respectively. The IMU data was used to develop quantitative measures (total and relative arm use) and a visualization method for arm use.

RESULTS

From the characterization study, we found that GM detects functional activities with 50-60% accuracy and eliminates non-functional activities with >90% accuracy. Continuous monitoring of arm use showed that the arm use was biased towards the dominant limb and less paretic limb for controls and patients, respectively.

CONCLUSIONS

The gross movement score has good specificity but low sensitivity in identifying functional activity. The at-home study showed that it is feasible to use two IMU-watches to monitor relative arm use and provided design considerations for improving the assessment method. CTRI/2018/09/015648.

摘要

引言

基于加速度计的活动计数用于测量手臂使用情况时,由于存在非功能性动作,容易出现高估现象。在本文中,我们使用基于惯性测量单元(IMU)的总体运动(GM)评分来量化手臂使用情况。

方法

在这项分为两部分的研究中,我们首先通过将GM与5名偏瘫患者和10名对照受试者进行一组活动的注释视频记录进行比较,来对GM进行特征描述。在第二部分中,我们分别使用两个佩戴在手腕上的IMU对5名患者和5名对照的手臂使用情况进行了7天和3天的跟踪。IMU数据被用于开发定量测量方法(总手臂使用情况和相对手臂使用情况)以及一种用于手臂使用情况的可视化方法。

结果

从特征描述研究中,我们发现GM检测功能性活动的准确率为50%-60%,消除非功能性活动的准确率>90%。对手臂使用情况的持续监测表明,对照者和患者的手臂使用情况分别偏向于优势肢体和瘫痪程度较轻的肢体。

结论

总体运动评分在识别功能性活动方面具有良好的特异性,但灵敏度较低。在家中进行的研究表明,使用两块IMU手表监测相对手臂使用情况是可行的,并为改进评估方法提供了设计考量。CTRI/2018/09/015648。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24e7/8273871/0c3891dffb0f/10.1177_20556683211019694-fig1.jpg

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