首页 | 本学科首页   官方微博 | 高级检索  
检索        

基于数学形态学的心音信号识别方法
引用本文:郭兴明,陈剑,肖守中.基于数学形态学的心音信号识别方法[J].生物医学工程学杂志,2004,21(5):832-835.
作者姓名:郭兴明  陈剑  肖守中
作者单位:重庆大学,生物工程学院,生物力学与组织工程教育部重点实验室,重庆,400044
基金项目:国家自然科学基金资助项目 ( 3 0 2 70 3 77),重庆大学骨干教师基金资助项目
摘    要:为实现对第一心音 (S1)和第二心音 (S2 )的自动识别提出了一种新方法。首先对原始心音信号进行预处理 ;然后利用数学形态学方法提取心音信号的包络 ;最后使用差分法并结合心音的医学知识对其进行识别。利用该方法对 80例心音信号进行了分析测试 ,结果显示对 S1与 S2识别的准确率达到了 86 % ,其中对于正常心音信号的识别准确率达到了 10 0 %。试验结果表明 ,文中提出的方法对 S1与 S2的识别准确率较高 ,为进一步的心音信号分析奠定了良好的基础。

关 键 词:心音  心音识别  数学形态学  心音包络

Heart Sound Recognition Algorithm Based on Mathematical Morphology
Xingming Guo,Jian Chen,Shouzhong Xiao.Heart Sound Recognition Algorithm Based on Mathematical Morphology[J].Journal of Biomedical Engineering,2004,21(5):832-835.
Authors:Xingming Guo  Jian Chen  Shouzhong Xiao
Institution:Key Laboratory for Biomechanics & Tissue Engineering, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, China. gxm1964@hotmail.com
Abstract:In this paper, a new method was put forward for automatic recognition of the first heart sounds(S1) and the second heart sounds(S2). After the original heart sound signal was preprocessed, the heart sound envelope was extracted by using the mathematical morphology. Then on the heart sound envelope, S1 and S2 were recognized. Eighty heart sound samples collected were used for testing the algorithm. The accuracy of recognition was 86%,and was 100% for the normal heart sound. The result showed that the algorithm proposed in this paper had high performance, which could be used as a basis for further analysis of heart sound.
Keywords:Heart sound    Recognition of heart sound    Mathematical morphology    Heart sound envelope
本文献已被 CNKI 维普 万方数据 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