小波变换在心音奇异信号处理中的应用

Application of Wavelet Transform to Heart Sound Signal Singularities Processing

针对如何剔除心音信号奇异点处的噪音信号的问题,该文利用小波变换方法,通过PhysioBank数据库中的相关数据,运用Matlab对含有噪音信号的心音奇异信号进行处理。其结果表明,该方法可在保留奇异信号的前提下,有效滤除噪音信号。说明利用小波变换技术分析与处理心音奇异信号是一种新的有效和实用的方法。

For the problem of how to remove the noise signals at the singularities of the heat sound signals,by using the wavelet transform method and the relevant data in PhysioBank database,the heart sound signal singularities containing the noise signals have been processed with the Matalab in this work.The results show that this method can effectively filter the noise signals at the premise of retaining singular signals.It has been demonstrated that the wavelet transform technique is an effective and practical method in analyzing and processing the heart sound signal singularities.