自适应提升小波变换在心音信号预处理中的应用

Application of adaptive lifting wavelet transform in pre-processing of heart sound signal

通过构造提升小波变换的预测滤波器和更新滤波器,将自适应提升小波变换用于心音信号的预处理,提升小波变换不仅保留了小波变换在信号处理中的优势,而且可以提高信号处理的速度,可以在心音信号的实时处理中起到很好的去噪效果。通过仿真实验对实际采集的几十组心音数据进行了去噪处理,结果表明,该方法在去噪效果和处理速度上都有着明显的优势,在心音的实时采集中有很重要的应用价值。

A method that is using adaptive lifting wavelet transform to pre-processing the heart sounds by constructing its predict-filter and update-filter is proposed in the paper. The lifting wavelet transform retained the advantage of normal wavelet transform in signal processing, and improved the speed of signal processing, so this method has good application in the de-noising of heart sounds＇ real time processing. Many heart sound data are used in the experiment, the conclusion is that the method has very good application foreground in the portable heart sounds collection and analysis instruments.