Determination and Comparison of Heart Rate Variability and Pulse Rate Variability

A. Podaru, V. David, O. Asiminicesei
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引用次数: 5

Abstract

Lately, pulse rate variability (PRV) analysis has been intensely studied, being used as an alternative to heart rate variability (HRV) for portable systems available on the market. Due to the simplicity of the waveform in comparison to that of the electrocardiographic signal (ECG), the photoplethysmographic (PPG) analysis is considered an interesting method for determining HRV parameters. In this paper, we have analyzed the HRV and PRV in time domain and frequency domain. In doing so in this study we have used 17 simultaneous records of both ECG and PPG signals have been used. We have compared the results and determined where the biggest differences occurred, some being noticeable in time domain parameters and others in frequency range parameters as well. Most correlations between HRV and PRV parameters, both in time domain and in frequency domain, are over 0.96. This enable us to establish the fact that there is a link between HRV and PRV parameters. We have analyzed attentively a particular case in which we obtained the lowest HRV and PRV correlation value in the frequency domain. The result was improved after we used a time series correction. It was therefore concluded that we can determine the HRV parameters based on the PPG signal in resting situations.
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心率变异性和脉搏变异性的测定和比较
最近,脉搏变异性(PRV)分析得到了深入的研究,被用作市场上可用的便携式系统的心率变异性(HRV)的替代方法。由于与心电图信号(ECG)相比波形简单,光容积脉搏波(PPG)分析被认为是确定HRV参数的一种有趣的方法。本文分别在时域和频域对HRV和PRV进行了分析。在这项研究中,我们使用了17个同时记录的ECG和PPG信号。我们对结果进行了比较,确定了最大的差异发生在哪里,有些在时域参数中很明显,有些在频率范围参数中也很明显。HRV和PRV参数在时域和频域的相关性均大于0.96。这使我们能够确定这样一个事实,即HRV和PRV参数之间存在联系。我们仔细分析了一个特殊的案例,在这个案例中,我们获得了频域中最低的HRV和PRV相关值。使用时间序列校正后,结果得到了改善。因此,我们可以根据静息状态下的PPG信号来确定HRV参数。
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