首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于S变换和Renyi熵的舒张期心音信号分析
引用本文:张莉,赵治栋.基于S变换和Renyi熵的舒张期心音信号分析[J].杭州电子科技大学学报,2014(3):13-16.
作者姓名:张莉  赵治栋
作者单位:杭州电子科技大学通信工程学院,浙江杭州310018
基金项目:浙江省重点科技创新团队资助项目(2012R10010-15); 浙江省科技计划公益技术研究资助项目(2013C31074)
摘    要:冠心病的无创诊断一直是学者研究的热点,近几年基于心音的冠心病诊断方法相继被提出。该文利用时频变换中的S变换对心音信号进行时频分析,在此基础上,用Renyi熵来度量舒张期心音信号的复杂度,以获取舒张期心音特征来区分正常信号与病理信号。实验结果表明,在S变换下,舒张期心音信号的Renyi熵能很好地区分正常人和冠心病患者。

关 键 词:冠心病  心音信号  舒张期心音  时频变换  

Analysis of Diastolic Heart Sound Signal Based on S-transform and Renyi Entropy
Zhang Li,Zhao Zhidong.Analysis of Diastolic Heart Sound Signal Based on S-transform and Renyi Entropy[J].Journal of Hangzhou Dianzi University,2014(3):13-16.
Authors:Zhang Li  Zhao Zhidong
Institution:(School of Communication Engineering, Hangzhou Dianzi University, Hangzhou Zhejiang 310018, China)
Abstract:Non-invasive diagnosis of coronary heart disease has been a hot research,diagnostic methods for coronary heart disease based on heart sounds have been proposed in recent years. In this paper,S-transform is used to analyze heart sound signal,then the Renyi entropy is used to measure the complexity of diastolic heart sound signal based on S-transform so that it can obtain features which could distinguish normal from pathological signals. In this paper,the above methods were used in 15 cases of normal and 15 patients with coronary artery disease,the experimental results show that the Renyi entropy based on S-transform can well distinguish normal from coronary heart disease.
Keywords:coronary heart disease  heart signal  diastolic heart signal  S-transform  Renyi entropy
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号