【作者】 丁娟；

【导师】 曲波；

【作者基本信息】 苏州大学 ， 信号与信息处理， 2008， 硕士

【摘要】 随着经济的发展,人们的生活方式和饮食习惯发生了不同程度的改变,使得心血管疾病的发病率与死亡率日益增高,成为了人类健康的头号大敌。而心脏又是一个极其复杂的生理系统,从时间序列分析的观点来看,它是一种典型的非线性时间序列。所以,对心电数据的分析不能采用传统的线性方法,鉴于此,本文采用了混沌时间序列分析法。本论文首先简要的介绍了混沌动力学的基本原理、特性,详细介绍了基于混沌时间序列心电数据分析用到的几种算法:如功率谱、相空间重构、关联维数、Lyapunov指数。用此算法对健康人、室性失常病人和束支传导阻滞病人的多例数据样本进行分析。功率谱分析表明:所有人的ECG功率谱图结构都很相似,均是连续的频谱,具有细致的尖峰结构,这说明心电信号不是简单的噪声信号,也不是周期信号,而是有着确定性规律的信号;ECG的相空间重构、关联维数和Lyapunov指数的计算表明:心脏系统的运动是混沌的,健康人心脏系统的混沌最强,而病态的心脏系统混沌性则减弱了,各种不同病态下心脏混沌性的强弱也不一样。实验结果表明:ECG的混沌动力学参数可以作为评价心脏系统健康状态的有效指标,可以辅助心脏疾病的早期诊断。希望能为早期的临床诊断提供一些新的方法。更多还原

【Abstract】 Along with economic development, people’s lifestyle and dietary habits have made a vary degree change, so the cardiovascular disease’s incidence rate and mortality rate have been increased gradually, which have become the number one mortal enemy of human health. While the heart is an extremely complex physiological system, look from the time series analysis’s viewpoint which is a typical example of nonlinear time series. Therefore, we can not analysis ECG with conventional linear method. In view of this, this paper adopted chaotic time series analysis.In this paper, first, I make a brief presentation about the basic principles and characteristic of chaotic dynamics, and then make a detail presentation of several algorithms based on chaotic time series, such as power spectrum, phase-space reconstruction, correlation dimension, Lyapunov exponent. Use these methods to analyze healthy people, premature ventricular contraction and bundle branch block patients. Power spectral analysis show that all of the power spectrum of ECG are in commom with, which have continuous spectrum with peak, so ECG is not noise signal nor periodic signal, but a signal with some certain rules; besides phase-space reconstruction, correlation dimension and Lyapunov exponent show that the movement of heart system is chaotic, healthy heart is the most chaotic system, sick heart system’s chaotic is weak, and the chaos of various pathological heart is different.The results showed that the chaotic dynamics parameters of ECG can be used as an effective indicator to evaluate heart system’s health state, assisted to the early diagnosis of heart disease, hoped to supply some new methods to early clinical diagnosis.更多还原