本文選題：心音信號 + 混沌��； 參考：《南京郵電大學》2017年碩士論文

【摘要】：近年來,心血管疾病的發(fā)病率不斷增加,高額的治療費用與繁復的治療手段大大增加了心血管疾病患者病發(fā)時獲得及時治療的難度,直接或間接的導致了心血管疾病致死率的提升。心音作為一種包含了大量心臟心血管狀況信息的復雜非線性信號具有混沌特性,且正常心音信號和病理心音信號存在混沌特性差異。如何針對心音所存在的混沌特性差異,設計一種可將病理心音調整為正常心音的心音混沌反控制方法,并將設計出的方法進行智能儀器開發(fā),用于心血管疾病患者的實時理療,則成為了一個十分具有價值的研究課題。本文基于狀態(tài)精確跟蹤混沌反控制思想,結合微分跟蹤器原理與模糊PID控制理論,設計了一種心音混沌反控制方法。本文設計的心音混沌反控制方法的目的為實現病理心音的混沌特性增強且使得病理心音對正常心音進行信號軌跡跟蹤。當輸入病理心音時,控制方法能根據另一路讀取的正常心音實時自整定PID參數,快速將病理心音調整為正常心音。本文選擇了五類各10組病理心音信號與同源早搏心音信號進行了心音混沌反控制實驗仿真,仿真結果顯示,病理心音能夠很快且很好地對正常心音進行軌跡跟蹤且跟蹤誤差趨近于0。為了使得仿真結果更加具有說服力,本文還對上述仿真結果進行了分類比較分析與基于混沌理論的定量分析,分類分析結果表明本文提出的方法最適用于早搏心音,其跟蹤時間最短,跟蹤誤差浮動最小,定量分析結果表明混沌反控制的病理心音的混沌性得到明顯增強。該控制方法跟蹤速度快、誤差小、魯棒性好,可用于開發(fā)心血管疾病的相關醫(yī)療輔助理療設備與心音發(fā)生器控制設備,具有一定的可行性和實用性。最后,本文提出了一種心音混沌反控制的改進方法,并給出了該方法的電路實現方案,實現了本課題從理論研究到實際工程應用的初步過渡,也為相關的心血管疾病的計算機智能輔助理療提供了研究方向與途徑。
[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.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R540.4;TP273

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本文編號：1802076