Comparison Between Heart Rate Variability and Pulse Rate Variability for Bradycardia and Tachycardia Subjects

Yongxin Chou, Peiyi Zhu, Xufeng Huang, Jiajun Lin, Jicheng Liu, Ya Gu
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引用次数: 7

Abstract

Pulse rate variability (PRV) derived from photoplethysmograph (PPG) signal has increasingly applied potentiality in wearable devices for telecare and personal healthcare. In this study, the relevance between PRV and HRV of bradycardia and tachycardia subjects are compared. First, we extract R to R wave interval sequences (RRIs) and P to P wave interval sequences (PPIs) from ECG and PPG signals, respectively. Then, the 5 features in time domain, 7 features in frequency domain and 9 features in nonlinear domain are extracted from PPIs and RRIs. Finally, two-sample t-test is employed to analyze the relevance of each same features. The results show that there is obvious relevance for these features except for basic scale entropy (BSE). Therefore, PRV can be used to analyze HRV for bradycardia subjects except for the pacemaker wearers, which have less variation patterns and higher HR and PRV For the tachycardia subjects, the PRV has more variation patterns than HRV. If we just consider the accuracy between HR and PR, there are not obviously different for bradycardia and tachycardia subjects.
心动过缓和心动过速患者心率变异性和脉搏变异性的比较
由光电容积脉搏波(PPG)信号衍生的脉搏变异性(PRV)在远程医疗和个人医疗的可穿戴设备中具有越来越大的应用潜力。本研究比较了心动过缓和心动过速患者PRV和HRV的相关性。首先,我们分别从ECG和PPG信号中提取R到R波间隔序列(RRIs)和P到P波间隔序列(PPIs)。然后分别从ppi和RRIs中提取出5个时域特征、7个频域特征和9个非线性特征。最后,采用双样本t检验分析各相同特征的相关性。结果表明,除基本尺度熵(BSE)外,其他特征都有明显的相关性。因此,除了起搏器佩戴者的心率变型较少,心率和心率变型较高外,PRV可用于分析心动过缓者的心率变型。如果我们只考虑HR和PR的准确性,在心动过缓和心动过速受试者中没有明显差异。
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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