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低成本可穿戴传感器评估健康成年人转身活动的适用性。

Suitability of a Low-Cost Wearable Sensor to Assess Turning in Healthy Adults.

机构信息

Department Sport, Exercise and Rehabilitation, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK.

Department Computer Science, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK.

出版信息

Sensors (Basel). 2022 Nov 30;22(23):9322. doi: 10.3390/s22239322.

Abstract

Background: Turning is a complex measure of gait that accounts for over 50% of daily steps. Traditionally, turning has been measured in a research grade laboratory setting, however, there is demand for a low-cost and portable solution to measure turning using wearable technology. This study aimed to determine the suitability of a low-cost inertial sensor-based device (AX6, Axivity) to assess turning, by simultaneously capturing and comparing to a turn algorithm output from a previously validated reference inertial sensor-based device (Opal), in healthy young adults. Methodology: Thirty participants (aged 23.9 ± 4.89 years) completed the following turning protocol wearing the AX6 and reference device: a turn course, a two-minute walk (including 180° turns) and turning in place, alternating 360° turn right and left. Both devices were attached at the lumbar spine, one Opal via a belt, and the AX6 via double sided tape attached directly to the skin. Turning measures included number of turns, average turn duration, angle, velocity, and jerk. Results: Agreement between the outcomes from the AX6 and reference device was good to excellent for all turn characteristics (all ICCs > 0.850) during the turning 360° task. There was good agreement for all turn characteristics (all ICCs > 0.800) during the two-minute walk task, except for moderate agreement for turn angle (ICC 0.683). Agreement for turn outcomes was moderate to good during the turns course (ICCs range; 0.580 to 0.870). Conclusions: A low-cost wearable sensor, AX6, can be a suitable and fit-for-purpose device when used with validated algorithms for assessment of turning outcomes, particularly during continuous turning tasks. Future work needs to determine the suitability and validity of turning in aging and clinical cohorts within low-resource settings.

摘要

背景

转身是一种复杂的步态测量指标,占日常步数的 50%以上。传统上,转身是在研究级实验室环境中进行测量的,但是,人们需要一种低成本、便携式的解决方案,以便使用可穿戴技术来测量转身。本研究旨在通过同时捕获和比较之前经过验证的基于参考惯性传感器设备(Opal)的转弯算法输出,确定一种基于低成本惯性传感器的设备(AX6,Axivity)评估转身的适用性,该设备适用于健康的年轻成年人。

方法

30 名参与者(年龄 23.9±4.89 岁)佩戴 AX6 和参考设备完成以下转身协议:转身课程、两分钟步行(包括 180°转身)和原地转身,左右 360°转身交替进行。两个设备都安装在腰部,一个 Opal 通过皮带,AX6 通过双面胶带直接粘贴在皮肤上。转身测量包括转身次数、平均转身持续时间、角度、速度和急动度。

结果

在进行 360°转身任务时,AX6 与参考设备的结果之间具有良好到极好的一致性(所有 ICC 均大于 0.850)。在进行两分钟步行任务时,除了转身角度的一致性适中(ICC 为 0.683)外,所有转身特征的一致性均良好(所有 ICC 均大于 0.800)。在转弯课程中,转弯结果的一致性为中度至良好(ICC 范围为 0.580 至 0.870)。

结论

AX6 是一种低成本的可穿戴传感器,当与经过验证的算法一起用于评估转身结果时,特别是在连续转身任务中,它是一种合适且适用的设备。未来的工作需要确定在资源有限的环境中,在老龄化和临床队列中转身的适用性和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5559/9737758/7dd0d8ed254f/sensors-22-09322-g001.jpg

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