【摘要】：人體的生理信號往往受多個組織,不同器官的相互影響。只是單純地使用線性的方法去分析人體的生理信號往往會忽視人體正常的生理過程當中可能相互作用、相互制約的因素。因此,利用結合了時域、頻域和非線性三個方向的變異性分析方法能更好地挖掘出蘊藏在生理信號中的信息,這也是現(xiàn)在眾多研究者所集中研究的重點。其中心率變異性因為有著較多的可以反映人體神經狀況的參數(shù)而受到重視。心電信號和脈搏信號產生的原因相近而心電信號與脈搏信號比較起來易受干擾,因此,本文通過定量研究心率變異性(Heart Rate Variability, HRV)和脈搏變異性(Pulse Rate Variability, PRV)的差別與聯(lián)系,試圖分析將可以簡單測量得到的脈搏信號來替代心電信號進行心率變異性分析的可能性。本文研究心率變異性是否可以由脈率變異性替代,以及二者之間的定量關系。由于心電信號易受干擾,我們考慮將心電信號替換成容易測量且干擾少的脈搏信號,從而比較準確而方便地檢測人體的生理狀況。本文首先同步采集脈搏和心電的數(shù)據,并經過去噪、去基線漂移等步驟得到心電和脈搏的間期數(shù)據。再通過定量的對比和分析心率變異性與脈率變異性在時域、頻域、非線性三個不同方面的參數(shù)的特征,定量分析二者之間的參數(shù)在不同分析方法中的區(qū)別與聯(lián)系。通過分析了健康青少年、中老年人和房顫病人三種類型的數(shù)據,并通過研究不同姿態(tài)、不同導聯(lián)下的HRV與PRV的關系,發(fā)現(xiàn)心率變異性和脈率變異性二者是有差別的,但是差別相對而言較小,在平靜的狀態(tài)下相差在5%以內,二者在一定程度上可以互相替代分析。時域頻域的不同參數(shù)在不同的姿態(tài)和年齡下存在著一致的波動性,而呼吸和神經調節(jié)對二者的影響存在時間差,對PRV的影響要延遲6%-20%個心動(脈搏)周期范圍；呼吸對PRV的影響較HRV要大。而房顫病人的脈搏數(shù)據相對心電數(shù)據有較大差異,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.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：R54;TN911.7

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