使用单通道光电容积脉搏波描记法进行心率变异性的高效抗噪估计。
Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography.
作者信息
Firoozabadi Reza, Helfenbein Eric D, Babaeizadeh Saeed
机构信息
Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA.
Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA.
出版信息
J Electrocardiol. 2017 Nov-Dec;50(6):841-846. doi: 10.1016/j.jelectrocard.2017.08.020. Epub 2017 Aug 18.
BACKGROUND
The feasibility of using photoplethysmography (PPG) for estimating heart rate variability (HRV) has been the subject of many recent studies with contradicting results. Accurate measurement of cardiac cycles is more challenging in PPG than ECG due to its inherent characteristics.
METHODS
We developed a PPG-only algorithm by computing a robust set of medians of the interbeat intervals between adjacent peaks, upslopes, and troughs. Abnormal intervals are detected and excluded by applying our criteria.
RESULTS
We tested our algorithm on a large database from high-risk ICU patients containing arrhythmias and significant amounts of artifact. The average difference between PPG-based and ECG-based parameters is <1% for pNN50, <1bpm for meanHR, <1ms for SDNN, <3ms for meanNN, and <4ms for SDSD and RMSSD.
CONCLUSIONS
Our performance testing shows that the pulse rate variability (PRV) parameters are comparable to the HRV parameters from simultaneous ECG recordings.
背景
使用光电容积脉搏波描记法（PPG）估计心率变异性（HRV）的可行性是近期许多研究的主题，结果相互矛盾。由于其固有特性，在PPG中准确测量心动周期比心电图更具挑战性。
方法
我们通过计算相邻峰、上升支和波谷之间的心搏间期的一组稳健中位数，开发了一种仅基于PPG的算法。通过应用我们的标准检测并排除异常间期。
结果
我们在一个来自高危重症监护病房患者的大型数据库上测试了我们的算法，该数据库包含心律失常和大量伪迹。基于PPG的参数与基于心电图的参数之间的平均差异，对于pNN50小于1%，对于平均心率（meanHR）小于1次/分钟，对于标准差（SDNN）小于1毫秒，对于平均NN（meanNN）小于3毫秒，对于差值的标准差（SDSD）和连续差值的均方根（RMSSD）小于4毫秒。
结论
我们的性能测试表明，脉搏率变异性（PRV）参数与同步心电图记录的HRV参数相当。
Zotero 插件