脉率变异性替代心率变异性的可行性分析

发布时间：2019-01-20 20:51

【摘要】：人体的生理信号往往受多个组织,不同器官的相互影响。只是单纯地使用线性的方法去分析人体的生理信号往往会忽视人体正常的生理过程当中可能相互作用、相互制约的因素。因此,利用结合了时域、频域和非线性三个方向的变异性分析方法能更好地挖掘出蕴藏在生理信号中的信息,这也是现在众多研究者所集中研究的重点。其中心率变异性因为有着较多的可以反映人体神经状况的参数而受到重视。心电信号和脉搏信号产生的原因相近而心电信号与脉搏信号比较起来易受干扰,因此,本文通过定量研究心率变异性(Heart Rate Variability, HRV)和脉搏变异性(Pulse Rate Variability, PRV)的差别与联系,试图分析将可以简单测量得到的脉搏信号来替代心电信号进行心率变异性分析的可能性。本文研究心率变异性是否可以由脉率变异性替代,以及二者之间的定量关系。由于心电信号易受干扰,我们考虑将心电信号替换成容易测量且干扰少的脉搏信号,从而比较准确而方便地检测人体的生理状况。本文首先同步采集脉搏和心电的数据,并经过去噪、去基线漂移等步骤得到心电和脉搏的间期数据。再通过定量的对比和分析心率变异性与脉率变异性在时域、频域、非线性三个不同方面的参数的特征,定量分析二者之间的参数在不同分析方法中的区别与联系。通过分析了健康青少年、中老年人和房颤病人三种类型的数据,并通过研究不同姿态、不同导联下的HRV与PRV的关系,发现心率变异性和脉率变异性二者是有差别的,但是差别相对而言较小,在平静的状态下相差在5%以内,二者在一定程度上可以互相替代分析。时域频域的不同参数在不同的姿态和年龄下存在着一致的波动性,而呼吸和神经调节对二者的影响存在时间差,对PRV的影响要延迟6%-20%个心动(脉搏)周期范围；呼吸对PRV的影响较HRV要大。而房颤病人的脉搏数据相对心电数据有较大差异,二者不可相互替代分析。
[Abstract]:Human physiological signals are often affected by multiple tissues and different organs. Only the linear method is used to analyze the physiological signals of the human body, which often ignores the factors that may interact and restrict each other in the normal physiological process of the human body. Therefore, using the variability analysis method which combines the time domain, frequency domain and nonlinear direction can better mine the information contained in the physiological signal, which is also the focus of many researchers. Heart rate variability (HRV) has attracted much attention because of its many parameters which can reflect the neural status of human body. The causes of ECG signal and pulse signal are similar, and ECG signal is easily interfered with pulse signal. Therefore, this paper studies heart rate variability (Heart Rate Variability, HRV) and pulse variability (Pulse Rate Variability,) quantitatively. The difference and relation of PRV) try to analyze the possibility that the pulse signal can be measured simply to replace the ECG signal for heart rate variability analysis. This paper studies whether heart rate variability can be replaced by pulse rate variability and the quantitative relationship between them. Since ECG signals are easily interfered, we consider replacing ECG signals with pulse signals that are easy to measure and have less interference, so as to detect the physiological status of human body accurately and conveniently. In this paper, the pulse and ECG data are collected synchronously, and the interval data of ECG and ECG are obtained by de-noising and baseline drift. Through quantitative comparison and analysis of the parameters of heart rate variability and pulse rate variability in time domain, frequency domain and nonlinearity, the difference and relation of the parameters between them in different analysis methods are analyzed quantitatively. By analyzing three types of data of healthy adolescents, middle-aged and elderly people and patients with atrial fibrillation, and by studying the relationship between HRV and PRV under different posture and lead, we found that there are differences between heart rate variability and pulse rate variability. But the difference is relatively small, and the difference is less than 5% in the calm state, so the two can substitute for each other to some extent. Different parameters in time domain and frequency domain have the same fluctuation under different attitude and age, but there is a time difference between respiration and nerve regulation, and the effect on PRV is delayed by 6% to 20% (pulse) cycle range. The effect of respiration on PRV was greater than that on HRV. The pulse data of patients with atrial fibrillation are different from ECG data, so there is no substitute for each other.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R54;TN911.7

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