改进HHT算法及在心音信号分析中的应用

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改进HHT算法及在心音信号分析中的应用

机械工程 | 更新时间：2023-11-28

- 改进HHT算法及在心音信号分析中的应用
- The Improved HHT Algorithm and Its Application in the Heart Sound Signal Analysis
- 工程科学与技术 2007年39卷第4期页码：160-163
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- 基金信息：
  
  国家科技部创新基金资助项目（02c26225120242）
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- 纸质出版日期：2007，
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李彬彬,袁中凡,杨春生.改进HHT算法及在心音信号分析中的应用[J].工程科学与技术,2007,39(4):160-163.

The Improved HHT Algorithm and Its Application in the Heart Sound Signal Analysis[J]. Advanced Engineering Sciences, 2007,39(4):160-163.
李彬彬,袁中凡,杨春生.改进HHT算法及在心音信号分析中的应用[J].工程科学与技术,2007,39(4):160-163. DOI：

The Improved HHT Algorithm and Its Application in the Heart Sound Signal Analysis[J]. Advanced Engineering Sciences, 2007,39(4):160-163. DOI：

摘要

中文摘要: HHT(Hilbert-Huang Transform)是一种具有自适应性的、新型的、基于模态分解的时间序列数据处理方法。心音信号是一种典型的非平稳信号，传统信号处理方法来处理心音信号有一定的局限性。为了研究心脏的动力学特征，将HHT算法引入到心音的信号分析中。提出了一种改进的HHT算法

针对仿真信号进行了分析，验证改进的算法可以正确地提取出信号中的各个分量IMF(Intrinsic Mode Function)；使用该算法对一例正常心音信号进行分解处理，表明该算法能按不同的时间尺度对心音信号信号进行分解

Abstract

Abstract:HHT(Hilbert Huang Transform) is a new and self adaptable time serials analysis method based on mode decomposition. Heart sound signal (HSS) is a typical non stationary signal

and it is difficult to be processed by traditional signal processing methods. In order to have deep insight of the heart dynamic characteristics

HHT algorithm was applied to analyze the HSS. Firstly

an improved HHT algorithm was proposed; then

the feasibility of the improved algorithm on a non stationary simulated signal was tested; finally

the algorithm was applied to analyze a healthy HSS. The result showed that the algorithm can efficiently decompose the HSS into IMFs with different time scales

which corresponding to different intrinsic characteristics of the signal. The energy distribution can be clearly shown in the Frequency-Energy spectrum. It was concluded that the improved HHT algorithm is available to analysis HSS.

关键词

HHTEMDIMF心音信号Hilbert谱

Keywords

HHT(Hilbert-Huang Transform)EMD(Empirical Mode Decomposition)IMF (Intrinsic Mode Function)HSS(Heart Sound Signal)Hilbert Spectrum

references

Veltcheva A D.Wave and group transformation by a Hilbert spectrum[J].Coastal Engineering Journal,2002,44(4):283-300.

Zhong Y M,Qin S R.HHT and a new noise removal method[C]// Proc 2nd International Symposiumon Instrumentation Science and Technologgy,2002.553-557.

Zhong Youming,Qin Shuren,Tang Baoping.Study on the theory of Hilbert-Huang transform[J].Journal of Shock and Vibration,2002,21(4):13-17.[钟佑明,秦树人,汤宝平.Hilbert-Huang变换中的理论研究[J].振动与冲击,2002,21(4):13-17.]

Ding Kang.Development in vibration signal analysis and processing methods[J].Journal of Vibration Engineering,2003,16(1):1-10.[丁康.平稳和非平稳振动信号的若干处理方法及发展[J].振动工程学报,2003,16(1):1-10.]

Huang N E,Shen Z,Long S R.The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proc Roy Soc,1998,454:903-995.

Reynold C,Dmitriv Sunilp.Evaluating probabilistic queriesover Imprecise data[C]//Proceedings of the 2003 ACMSIGMOD International Conference on Management of Data SIGMOD 2003.

Yang Yu,Yu Dejie,Cheng Junsheng.Roller bearing fault diagnosis method based on EMD and neural network[J].Journal of Shock and Vibration,2005,24(1):85-88.[杨宇,于德介,程军圣.基于EMD与神经网络的滚动轴承故障诊断方法[J].振动与冲击,2005,24(1):85-88.]

Shen Guoji,Tao Limin,Chen Zhongsheng.The oretical research on empirical mode decomposition of multi frequency signal and its application[J].Journal of Vibration Engineering,2005,18(1):91-94.[沈国际,陶利民,陈仲生.多频信号经验模态分解的理论研究及应用[J].振动工程学报,2005,18(1):91-94.]

Yoganathan A P.Use of fast fourier transform for frequency analysis of the first heart sound in normal man[J].Med Biol Eng,1976,14(69):69-72.

Stein P H.Frequency spectra of the first heart sound of the aortic component and these cond heart sound in patients with degenerated porcine bioprosthetic valves[J].Am J Cardiol,1984,53:557-562.

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