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心脏杂音的时频分析。第一部分:参数建模与数值模拟。

Time-frequency analysis of heart murmurs. Part I: Parametric modelling and numerical simulations.

作者信息

Debiais F, Durand L G, Pibarot P, Guardo R

机构信息

Laboratoire de Génie Biomédical, Institut de Recherches Cliniques de Montréal, Québec, Canada.

出版信息

Med Biol Eng Comput. 1997 Sep;35(5):474-9. doi: 10.1007/BF02525526.

Abstract

The object of this study is to compare the performance of two new bilinear time-frequency representation techniques with the spectrogram to characterise the behaviour of heart murmurs produced by bioprosthetic heart valves implanted in the mitral or aortic position. The murmurs are those of mitral stenosis, mitral regurgitation, aortic stenosis, aortic regurgitation, a diastolic musical murmur and a systolic musical murmur. In the first part of the study, the general characteristics of the amplitude and the spectral content of these murmurs are determined by visual observation of the spectrogram of phonocardiograms obtained from several patients with known valvular pathology complemented with a literature review. A parametric model is then generated for each murmur signal. Stenotic and regurgitant murmurs are modelled as the sequential output of a bank of low-pass filters excited by a white noise input signal. The basic parameters of each filter are selected to simulate, as a function of time, the basic characteristics of random heart murmurs. Musical murmurs are modelled as a frequency-modulated deterministic sinusoid of constant amplitude. Numerical simulations of these random and musical heart murmurs are then generated and will be used in Part II to determine the best of three time-frequency representation techniques for analysing heart murmur signals.

摘要

本研究的目的是将两种新的双线性时频表示技术的性能与频谱图进行比较,以表征植入二尖瓣或主动脉瓣位置的生物人工心脏瓣膜产生的心脏杂音的特性。这些杂音包括二尖瓣狭窄、二尖瓣反流、主动脉瓣狭窄、主动脉瓣反流、舒张期音乐性杂音和收缩期音乐性杂音。在研究的第一部分,通过对从几位已知瓣膜病变患者获得的心音图频谱图进行视觉观察,并辅以文献综述,确定这些杂音的幅度和频谱内容的一般特征。然后为每个杂音信号生成一个参数模型。狭窄性和反流性杂音被建模为一组由白噪声输入信号激励的低通滤波器的顺序输出。每个滤波器的基本参数被选择为随时间模拟随机心脏杂音的基本特征。音乐性杂音被建模为恒定幅度的调频确定性正弦波。然后生成这些随机和音乐性心脏杂音的数值模拟,并将在第二部分中用于确定三种时频表示技术中分析心脏杂音信号的最佳技术。

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