基于心音小波分析的冠状动脉疾病无损检测的研究

通过对人体胸部体表声场和冠脉血流动力学等方面的理论研究。首次提出用多通道整周期心音信号小波分析来检测冠状动脉疾病，在传统器设计及信号检测过程中，系统采用了高灵敏度传感器列阵对正常人及冠心病患者胸部的多个部位进行检测，经高频提取后的模拟信号通过计算机进行数据采集。在信号分析方面，发发展了一种适合于心音信号分析的小波变换方法对心音在时域和频提取后的上展开了局部分分析。通过比较正常人及冠心病患者的分析结

Study of noninvasive detection of coronary artery disease based on the application of wavelet transform to heart sounds

This paper studied the surface acoustical field of body's chest and the blood flow dynamics in coronary artery and then provided a new method to detect early coronary artery disease(CAD)which was based on the application of wavelet transform to whole cycle's heart sounds from multi channel.This system developed a highly sensitive heart sounds sensor array specially designed for detecting signals from various parts of thorax of normal persons and CAD patients.After pretreated,the high frequency signals in heart sounds were sampled by computer.The method of signal's wavelet transform was fit for the analysis of heart sounds because of its localization analysis both in frequency domain and in time domain.By comparing the analysis results of normal persons with abnormal persons,it could draw a conclusion that in every heart active cycle the average power ratio of the whole cycle's heart sounds to the diastolic period's heart sounds at different frequency segments was associtaed with coronary artery occlusion, moreover,the wavelet transform of the signals also provided the intensity of the changes in heart sounds of diastolic period which was due to the blood turbulence through the narrow coronary arteries.It has been proved by clinical practice that the method of wavelet transform of heart sounds provided a good manner to diagnose CAD and have a potential possibility for early detection of CAD.