使用胸部佩戴的加速度计对成年人使用平均幅度偏差对身体活动水平的分类:Vivalink ECG Patch的验证
Jim Luckhurst1, Cara Hughes2, Benjamin Shelley3
1School of Medicine, University of Glasgow, Glasgow, UK.
BMC sports science, medicine & rehabilitation
|October 10, 2024
概括
这项研究确定了可穿戴加速度计的最佳切割点,以准确区分静坐和行走活动. 这些发现支持使用胸部佩戴设备在社区环境中远程监测身体活动.
科学领域:
- 可穿戴式传感器技术的技术.
- 生物医学工程 生物医学工程
- 监测身体活动的监控.
背景情况:
- 可穿戴的加速度计提供了对身体活动 (PA) 的客观远程监控,超越了自我报告.
- 可靠地检测出行活动对于加速度计数据的有效性至关重要.
- 平均振幅偏差 (MAD) 是分析加速度计数据和定义活动截止点的强大指标.
研究的目的:
- 为了校准VivaLink ECG贴片的加速度计功能.
- 通过使用胸部佩戴的加速度计来确定平均幅度偏差 (MAD) 切割点,以区分静坐和行走活动.
主要方法:
- 健康的志愿者在戴着VivaLink心电图贴片时进行了9次模拟自由生活活动.
- 用通用线性混合模型来确定基于MAD值的活动切割点.
- 接收器操作特征 (ROC) 曲线分析了MAD切割点的灵敏度和特异性.
主要成果:
- 为了区分久坐和走路活动的最佳MAD切割点是47.73mG.
- ROC曲线分析显示曲线下的面积为0.99 (p < 0.001).
- 确定的切点达到98%的灵敏度和100%的特异性.
结论:
- 识别的MAD切点有效地对健康成年人的久坐和走动活动进行了分类.
- 这种方法为基于社区的PA监测提供了一种低负担的方法.
- 这些发现促进了未来的研究,将PA监测与胸部佩戴传感器的其他生理数据整合在一起.
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