基于心音混沌特性的反控制方法的研究与应用

发布时间：2018-04-25 16:20

本文选题：心音信号 + 混沌　；参考：《南京邮电大学》2017年硕士论文

【摘要】：近年来,心血管疾病的发病率不断增加,高额的治疗费用与繁复的治疗手段大大增加了心血管疾病患者病发时获得及时治疗的难度,直接或间接的导致了心血管疾病致死率的提升。心音作为一种包含了大量心脏心血管状况信息的复杂非线性信号具有混沌特性,且正常心音信号和病理心音信号存在混沌特性差异。如何针对心音所存在的混沌特性差异,设计一种可将病理心音调整为正常心音的心音混沌反控制方法,并将设计出的方法进行智能仪器开发,用于心血管疾病患者的实时理疗,则成为了一个十分具有价值的研究课题。本文基于状态精确跟踪混沌反控制思想,结合微分跟踪器原理与模糊PID控制理论,设计了一种心音混沌反控制方法。本文设计的心音混沌反控制方法的目的为实现病理心音的混沌特性增强且使得病理心音对正常心音进行信号轨迹跟踪。当输入病理心音时,控制方法能根据另一路读取的正常心音实时自整定PID参数,快速将病理心音调整为正常心音。本文选择了五类各10组病理心音信号与同源早搏心音信号进行了心音混沌反控制实验仿真,仿真结果显示,病理心音能够很快且很好地对正常心音进行轨迹跟踪且跟踪误差趋近于0。为了使得仿真结果更加具有说服力,本文还对上述仿真结果进行了分类比较分析与基于混沌理论的定量分析,分类分析结果表明本文提出的方法最适用于早搏心音,其跟踪时间最短,跟踪误差浮动最小,定量分析结果表明混沌反控制的病理心音的混沌性得到明显增强。该控制方法跟踪速度快、误差小、鲁棒性好,可用于开发心血管疾病的相关医疗辅助理疗设备与心音发生器控制设备,具有一定的可行性和实用性。最后,本文提出了一种心音混沌反控制的改进方法,并给出了该方法的电路实现方案,实现了本课题从理论研究到实际工程应用的初步过渡,也为相关的心血管疾病的计算机智能辅助理疗提供了研究方向与途径。
[Abstract]:In recent years, the incidence of cardiovascular disease continues to increase, the high cost of treatment and complex treatment methods have greatly increased the cardiovascular disease patients to get timely treatment difficulty. It leads directly or indirectly to an increase in mortality from cardiovascular disease. As a kind of complex nonlinear signal which contains a lot of cardiovascular information, heart sound has chaotic characteristics, and there is a difference between normal and pathological heart sound signals. How to design a chaotic anti-control method of heart sound which can adjust pathological heart sound to normal heart sound according to the difference of chaotic characteristics of heart sound, and develop the intelligent instrument for real-time physiotherapy of patients with cardiovascular disease. Has become a very valuable research topic. Based on the idea of state accurate tracking chaos anti-control, combined with differential tracker principle and fuzzy PID control theory, a chaotic anti-control method for heart sound is designed in this paper. The aim of the method designed in this paper is to enhance the chaotic characteristics of the pathological heart sound and to track the signal trajectory of the normal heart sound by the pathological heart sound. When the pathological heart sounds are inputted, the control method can adjust the PID parameters to normal heart sounds according to the normal heart sounds read by the other way in real time, and quickly adjust the pathological heart sounds to normal heart sounds. In this paper, 10 groups of pathological heart sound signals and homologous premature beat signals are selected to simulate the chaotic anti-control of heart sounds. The simulation results show that, Pathological heart sounds can track the track of normal heart sounds quickly and well, and the tracking error approaches 0. In order to make the simulation results more convincing, this paper also carries on the classification comparison analysis to the above simulation results and the quantitative analysis based on the chaos theory. The classification analysis results show that the method proposed in this paper is the most suitable for premature beat heart sounds. The tracking time is the shortest and the tracking error is minimum. The results of quantitative analysis show that the chaos of the pathological heart sound of chaos anti-control is obviously enhanced. This control method has the advantages of high tracking speed, small error and good robustness. It can be used to develop medical auxiliary physiotherapy equipment and cardiac sound generator control equipment for cardiovascular diseases. It is feasible and practical. Finally, an improved method of anti-control of heart sound chaos is put forward, and the circuit realization scheme of this method is given, which realizes the preliminary transition from theoretical research to practical engineering application. It also provides the research direction and approach for the related cardiovascular diseases.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R540.4;TP273

【参考文献】