A Simple Method for Determining the HRV Parameters

A. Podaru, V. David
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引用次数: 2

Abstract

In this paper, we present a simple way to determine the heart rate variability (HRV) parameters. We designed a device which is capable of simultaneously recording three biological signals, namely the electrocardiographic signal (ECG), the photoplethysmographic signal (PPG) and a pulse signal acquired from the earlobe, graphically represented by the rectangular form. We recorded and processing these signals from 14 subjects. All data was recorded in the same way, namely with the participant sitting on a chair and by using the same sampling frequency. We determined the heart rate variability (HRV) parameters from the electrocardiographic signal, the pulse rate variability (PRV) parameters from the photoplethysmographic signals, and earlobe PRV from the pulse signal (ePRV). We calculated the Pearson coefficient in three ways, first between the HRV and the PRV parameters, second, using the HRV and the ePRV parameters and the last one using the PRV and the ePRV parameters. Both in case of the time-domain and frequency-domain parameters, the Pearson correlation coefficients were above 0.97, that means a strong link between HRV and ePRV/PRV.
一种测定HRV参数的简易方法
在本文中,我们提出了一种简单的方法来确定心率变异性(HRV)参数。我们设计了一种能够同时记录三种生物信号的装置,即心电图信号(ECG)、光容积脉搏波信号(PPG)和耳垂采集的脉冲信号,用矩形图形表示。我们记录并处理了14名受试者的这些信号。所有数据都以相同的方式记录,即参与者坐在椅子上,并使用相同的采样频率。我们从心电图信号确定心率变异性(HRV)参数,从光容积脉搏波信号确定脉搏变异性(PRV)参数,从脉搏信号确定耳垂PRV (ePRV)参数。我们采用三种方法计算Pearson系数,第一种是HRV与PRV参数之间的Pearson系数,第二种是HRV与ePRV参数之间的Pearson系数,最后一种是PRV与ePRV参数之间的Pearson系数。在时域和频域参数中,Pearson相关系数均大于0.97,表明HRV与ePRV/PRV之间存在较强的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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