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Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients
Scientific Reports ( IF 3.8 ) Pub Date : 2021-04-14 , DOI: 10.1038/s41598-021-87489-0
Christoph Hoog Antink 1, 2 , Yen Mai 3, 4 , Mikko Peltokangas 3, 4 , Steffen Leonhardt 2 , Niku Oksala 3, 4, 5 , Antti Vehkaoja 3, 4, 6
Affiliation  

Optical heart rate monitoring (OHR) with reflective wrist photoplethysmography is a technique mainly used in the wellness application domain for monitoring heart rate levels during exercise. In the absence of motion, OHR technique is also able to estimate individual beat-to-beat intervals relatively well and can therefore also be used, for example, in monitoring of cardiac arrhythmias, stress, or sleep quality through heart rate variability (HRV) analysis. HRV analysis has also potential in monitoring the recovery of patients, e.g. after a medical intervention. However, in order to detect subtle changes, the calculated HRV parameters should be sufficiently accurate and very few studies exist that asses the accuracy of OHR derived HRV in non-healthy subjects. In this paper, we present a method to estimate beat-to-beat-intervals (BBIs) from reflective wrist PPG signal and evaluated the accuracy of the proposed method in estimating BBIs in a cross-sectional study with 29 hospitalized patients (mean age 70.6 years) in 24-h recordings performed after peripheral vascular surgery or endovascular interventions. Finally, we evaluate the accuracy of more than 30 commonly used HRV parameters and find that the accuracy of certain metrics, for example SDNN and triangular index, shown in the literature to be associated with the deterioration of the status of the patients during recovery from surgical intervention, could be adequate for patient monitoring. On the other hand, the parameters more affected by the high-frequency content of the HRV and especially the LF/HF-ratio should be used with caution.



中文翻译:

使用反射式手腕 PPG 估计老年血管患者心率变异性的准确性

采用反射式手腕光电体积描记法的光学心率监测 (OHR) 是一种主要用于健康应用领域的技术,用于监测运动期间的心率水平。在没有运动的情况下,OHR 技术还能够相对较好地估计个体的心跳间隔,因此也可用于通过心率变异性 (HRV) 监测心律失常、压力或睡眠质量等。分析。HRV 分析还具有监测患者康复情况的潜力,例如在医疗干预后。然而,为了检测细微的变化,计算出的 HRV 参数应该足够准确,并且很少有研究评估 OHR 得出的 HRV 在非健康受试者中的准确性。在本文中,我们提出了一种根据反射手腕 PPG 信号估计心跳间隔 (BBI) 的方法,并在对 29 名住院患者(平均年龄 70.6 岁)进行的横断面研究中评估了该方法估计 BBI 的准确性。年)在外周血管手术或血管内干预后进行的 24 小时记录中。最后,我们评估了 30 多个常用 HRV 参数的准确性,发现文献中显示的某些指标(例如 SDNN 和三角指数)的准确性与患者手术恢复期间状态的恶化有关。干预可能足以用于患者监测。另一方面,应谨慎使用受 HRV 高频内容尤其是 LF/HF 比影响较大的参数。

更新日期:2021-04-14
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