中国组织工程研究与临床康复2011，Vol.15Issue(30)：5615-5619,5.DOI:10.3969/j.issn.1673-8225.2011.30.026
基于小波变换的心音包络提取算法及应用
Envelope extraction algorithm and phonocardiogram signal application based on wavelet transform
摘要
Abstract
BACKGROUND: The activity of heart valves can be reflected by cardiac sounds, even some heart disease can also find expression in the abnormal heart sounds. So heart sounds analysis has important clinical significance.OBJECTIVE: Through extraction envelope and analysis of the various features of hea rt sounds, to detect whether there is noise or not in phonocardiogram signals so as to improve the weakness of traditional auscultation technology such as high dependence on the doctors' experience and the limited auscultation range.METHODS: Extraction envelope curve is one of the commonly used methods to analyze heart sounds. A new method based on wavelet transform to extract the heart sound signals envelope was presented, in contrast to the common methods as Hilbert-Huang transform (HHT), mathematical morp hology and average Shannon energy. Through practice, the method was proved to contain many advantages: simple algorithm, smooth feature, outstanding feature point.RESULTS AND CONCLUSION: In order to test the accuracy of discriminating normal and abnormal heart sounds, 35 heart sounds were collected and analyzed. The experiment demonstrated that the accuracy performances were achieved by 95％ ,which is very useful in many aspects.关键词
心音/小波变换/包络提取/支持向量机/特征参数分类
基础医学引用本文复制引用
周酥,朱蒂,吴效明,黄岳山..基于小波变换的心音包络提取算法及应用[J].中国组织工程研究与临床康复,2011,15(30):5615-5619,5.基金项目
广东省科技计划项目(2007B031302003):课题名称:基于无线穿戴式检测技术的社区数字医疗健康服务系统 （2007B031302003）
广东省科技计划项目(2009B030801004):课题名称:面向社区家庭的医疗服务与检测仪器. （2009B030801004）
