从奥拉环中得出准确的夜间心率,rMSSD和频率HRV
Tian Liang1, Gizem Yilmaz1, Chun-Siong Soon1
1Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117549, Singapore.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
通过严格的数据质量过器,可以从Oura Ring中获得准确的心率变化 (HRV). 应用高有效度值和较长的平均期可以提高夜间心血管风险监测的准确性.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 睡眠科学 睡眠科学
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 夜间心率 (HR) 和心率变化 (HRV) 监测可以揭示潜在的心血管疾病风险.
- 之前的研究显示了Oura Ring的HR精度,但质疑其HRV精度.
研究的目的:
- 评估严格的数据质量过器是否提高了Oura Ring对HRV指标的准确性.
- 评估来自Oura Ring的时间域和频域HRV测量与ECG的测量.
- 为了确定可靠的Oura Ring HRV分析的最佳数据处理参数.
主要方法:
- 从114名参与者 (92名年轻人,22名年长者) 收集了同步的Oura Ring和ECG数据.
- 有效率比例 (有效的节拍间隔) 为每个5分钟的睡眠段计算.
- 对心电图的 HR 和 HRV 精度被用不同的有效度值 (80%, 50%, 30%) 和时间窗口 (5 分钟, 30 分钟,夜间) 评估.
主要成果:
- 在所有年龄组和窗口大小中发现了强烈的相关性和对Oura衍生的HR和HRV指标的一致性.
- 通过更严格的有效率比例值和更长的时间窗口聚合 (30分钟,夜间) 观察到准确度增加.
- 在老年人群中,HRV测量的差异较大,超过50%的绝对百分比误差超过10%.
结论:
- 准确的HRV测量是可行的,使用Oura Ring的光电显微镜 (PPG) 信号.
- 一个严格的有效率比例值 (大约. 建议在每5分钟的段落中使用80%的分量,并至少在30分钟内进行聚合.
- 这种方法可以支持可靠的长期夜间HRV监测,以评估心血管风险.
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