利用消费者可穿戴设备的加速计和心率数据来预测儿童的身体活动:一种设备不可知的方法
Rahul Ghosal1, James W White1, Olivia Finnegan1
1University of South Carolina, Arnold School of Public Health, Columbia, SC.
Medicine and science in sports and exercise
|April 8, 2025
概括
消费者可穿戴设备使用加速度计和心率 (HR) 数据准确预测儿童的体力活动能量消耗 (PAEE). 一种无关设备的方法在儿科研究中显示出PAEE估计的前景.
科学领域:
- 儿科运动生理学
- 可穿戴式传感器技术的技术.
- 生物识别数据分析
背景情况:
- 精确测量体力活动能耗 (PAEE) 对于了解儿童健康至关重要.
- 传统的方法,如间接热量计,是资源密集的.
- 消费者可穿戴设备为PAEE监控提供了一个可扩展的替代方案.
研究的目的:
- 评估一种设备不可知的方法来预测儿童的PAEE.
- 将消费者可穿戴设备的PAEE预测与研究级设备进行比较.
- 使用原始加速度计和心率 (HR) 数据评估各种建模技术 (CSTS,GAMM,RF) 的有效性.
主要方法:
- 231名儿童 (5-12岁) 参与了60分钟的活动协议.
- 孩子们戴着研究级的加速度计 (ActiGraph GT9X),HR监视器 (Actiheart 5) 和消费者可穿戴设备 (果,加敏,Fitbit).
- 用COSMED K5间接热量计测量PAEE;用CSTS,GAMM和RF模型分析数据.
主要成果:
- 研究级设备实现了0.74-0.76.7的R2值.
- 消费者可穿戴设备 (果,加敏) 显示了可比的R2值 (0.73-0.78).
- 菲特比特显示性能较低 (R2:0.63-0.67),其他设备的建模方法之间的差异很小.
结论:
- 消费者可穿戴设备 (不包括Fitbit) 预测儿童的PAEE与研究级设备一样有效.
- 一种设备不可知的方法是可行的PAEE估计在儿科群体.
- 这支持使用易于使用的技术进行大规模活动监控.
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