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活动记录仪和小米手环在中风后计步的效标效度及准确性

Criterion validity and accuracy of actigraph and Xiaomi Smart Band to count steps after stroke.

作者信息

Alvarenga Maria Tereza Mota, Tenório Ruani Araújo, Ada Louise, Boening Augusto, Nascimento Lucas Rodrigues, Scianni Aline Alvim

机构信息

Department of Physiotherapy, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Discipline of Physiotherapy, The University of Sydney, Sydney, Australia.

出版信息

Disabil Rehabil. 2025 Jun;47(13):3441-3444. doi: 10.1080/09638288.2024.2420840. Epub 2024 Oct 29.

Abstract

PURPOSE

Finding valid and accurate methods to count steps is important after a stroke. To determine the criterion validity and accuracy of the Actigraph and Xiaomi Smart Band to count steps in individuals after stroke. To explore the influence of walking speed on the accuracy of these activity monitors.

METHOD

Individuals after stroke performed the 2-min Walk Test while wearing the ActiGraph and Xiaomi Smart Band. The 2-min Walk Test was recorded, and the observed step count was compared with the estimated step count of both activity monitors.

RESULTS

Fifty individuals after stroke were included. The ActiGraph had a low correlation (rho 0.41) between observed and estimated step count and a high percentage absolute error (39%). The Xiaomi Smart Band had a high correlation (rho 0.83) and a moderate percentage absolute error (12%). At high walking speeds, the Xiaomi Smart Band had a low percentage absolute error (3%) and at slow walking speeds had 18% a moderate percentage absolute error.

CONCLUSION

The Xiaomi Smart Band has good criterion validity and moderate-to-high accuracy counting steps after stroke. It is a low-cost activity monitor that is a viable alternative to the more expensive activity monitors used in research.IMPLICATIONS FOR REHABILITATIONThe ActiGraph has low criterion validity and accuracy at counting steps after stroke.The Xiaomi Smart Band has good criterion validity and accuracy at counting steps after a stroke.The Xiaomi Smart Band is a low-cost activity monitor that is a viable alternative to the more expensive activity monitors used in research.

摘要

目的

中风后找到有效且准确的步数计数方法很重要。确定ActiGraph和小米智能手环在中风个体中计数步数的标准效度和准确性。探讨步行速度对这些活动监测器准确性的影响。

方法

中风后的个体佩戴ActiGraph和小米智能手环进行2分钟步行测试。记录2分钟步行测试情况,并将观察到的步数与两个活动监测器估计的步数进行比较。

结果

纳入了50名中风后的个体。ActiGraph观察到的步数与估计的步数之间相关性较低(rho值为0.41),绝对误差百分比较高(39%)。小米智能手环相关性较高(rho值为0.83),绝对误差百分比适中(12%)。在高步行速度下,小米智能手环的绝对误差百分比较低(3%),在低步行速度下绝对误差百分比适中(18%)。

结论

小米智能手环在中风后计数步数方面具有良好的标准效度和中到高的准确性。它是一种低成本的活动监测器,是研究中使用的更昂贵的活动监测器的可行替代方案。

对康复的意义

ActiGraph在中风后计数步数方面标准效度和准确性较低。

小米智能手环在中风后计数步数方面具有良好的标准效度和准确性。

小米智能手环是一种低成本的活动监测器,是研究中使用的更昂贵的活动监测器的可行替代方案。

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