基于心率变量的可穿戴式光电心电图测量是否相当于心电图? 一个模拟研究研究
Hayden G Dewig1, Jeremy N Cohen2, Eric J Renaghan3
1Rockefeller Neuroscience Institute, West Virginia University, 33 Medical Center Dr, Morgantown, WV, 26505, USA.
Sports medicine (Auckland, N.Z.)
|June 27, 2024
概括
当脉冲到达时间的变化很高时,光电心电学衍生的心率变化 (PRV) 与心电学衍生的心率变化 (HRV) 不等. SDN可能是一个比RMSSD更可靠的PRV指标.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 电心电图 (ECG) 衍生的心率变化 (HRV) 和光聚血学 (PPG) 衍生的"HRV" (PRV) 往往可以互换使用.
- 脉冲到达时间 (PAT) 的变化可能会导致HRV和PRV之间的分离.
研究的目的:
- 为了确定PRV是否等同于ECG衍生的HRV.
- 评估PRV固有的错误是否使其有资格作为与HRV分开的独特,高质量的测量.
主要方法:
- 贝叶斯模拟使用来自1084名受试者的心电图数据.
- 整合了个别的PAT分散 (手腕和手指) 来建模PPG波到达时间.
- 为HRV和PRV计算连续差异 (RMSSD) 的平方根平均值和N-N间隔的标准偏差 (SDNN),在预定义的等效界限 (ROPE) 中进行比较.
主要成果:
- 在最低的PAT变异性 (2.0SD) 时,SDNN等效率为88.4%,RMSSD为21.4%.
- 增加PAT变异性显著降低了SDNN和RMSSD的PRV和HRV之间的等价值.
- 脉冲到达时间的变化增加了PRV测量的不确定性 (HDI宽度),特别是在RMSSD.
结论:
- 在具有显著PAT变异性的个体中,PRV不是HRV的可靠替代品.
- 当PRV被认为是一个独特的生物特征时,SDNN显示了比RMSSD更有利的测量特性,尽管这两种指标都表现出非统一的错误.
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