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An Application for Pairing with Wearable Devices to Monitor Personal Health Status

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定义活动门引发了果手表用户的"待机时间":横截面研究

Katy Lyons¹, Alison Hau Hei Man¹, David Booth²

¹Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, United Kingdom.

JMIR formative research

|June 10, 2024

概括

果手表的支时间 (SH) 度量受活动能量和步数的影响. 满足这些标准的门可以增加记录站立时间的可能性,促进轻度体力活动.

关键词:

果手表果手表算法算法是一种算法.算法算法是一种算法.心血管疾病心血管疾病数据收集数据收集数据收集运动就是炼身体.轻度的体力活动.机器学习是机器学习.运动运动运动运动运动运动.身体活动身体活动预测预测预测预测预测预测预测预测预测性预测性预测性预测器预测器预测器预测者预测者预测者一个久坐不动的生活.一个久坐不动的行为.智能手表智能手表站立站立站立站立站立时间站立时间小时站立站立在站立站立站立 2 型糖尿病 2 型糖尿病看看看看看看看看看看看看看看的可以穿戴的可穿戴设备.可穿戴设备可以穿戴.

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科学领域:

可穿戴技术和健康指标
人类运动分析分析
公共卫生和预防非传染性疾病.

背景情况:

久坐不动行为 (SB) 是非传染性疾病的主要危险因素.
世界卫生组织的指导方针建议用轻度的体力活动取代SB.
果手表站立小时 (SH) 度量的活动决定因素尚不清楚.

研究的目的:

分析确定Apple Watch待机时间 (SH) 记录的算法.
调查影响SH记录的活动测量.
估计SH记录因子的预测值.

主要方法:

使用20名健康个体的匿名Apple Watch数据进行横截面研究.
从果健康应用程序通过第三方应用程序提取数据.
统计建模用于识别和分析SH预测因素.

主要成果:

活性能量 (AE) 和步数 (SC) 显著影响SH记录.
平均和中位数AE和SC在记录和未记录的SH之间有所不同.
97.5步或100kJ AE的门增加了SH记录的可能性.

结论:

AE和SC是果手表SH算法的关键因素.
SH记录受到多种因素的影响.
该SH指标代表轻量体育活动,可以鼓励SB减少.