中国医疗设备2013，Vol.28Issue(2)：9-12,4.DOI:10.3969/j.issn.1674-1633.2013.02.003
基于小波变换的病灶心音信号识别
Heart Sound Recognition on Lesions Based on Wavelet Transform
摘要
Abstract
Analysis of heart sound plays an important role in the non-invasive diagnosis of cardiovascular diseases. The lesions heart sound contains a lot of information about heart diseases. According to the characteristics of frequency distribution of heart sound signals, this paper adopts wavelet transform algorithm to extract and analyse heart sound signals at different sizes, reconstructs the high frequency of heart sound, and calculates the energy separately, contrasts with energy distribution of the normal heart sound in corresponding sizes, achieves the recognition of lesion heart sound by emulation. This method which merely uses highly complicated algorithm could recognize the lesions heart sound signals, and has higher detection efficiency.关键词
小波变换/心音信号/特征提取/小波能量Key words
wavelet transform/ heart sound/ feature extraction/ wavelet energy分类
医药卫生引用本文复制引用
李丽,胡方明..基于小波变换的病灶心音信号识别[J].中国医疗设备,2013,28(2):9-12,4.基金项目
中央高校基本科研业务经费资助项目(k50510020034). （k50510020034）
