利用设计的小波提取心脏振动特征

B. Tovar, W. J. Wang, J. Torry
{"title":"利用设计的小波提取心脏振动特征","authors":"B. Tovar, W. J. Wang, J. Torry","doi":"10.1109/ICWAPR.2010.5576406","DOIUrl":null,"url":null,"abstract":"The heart sounds with systolic murmurs can be characterized and visualized as a result of free and forced vibrations in human hearts. A joint time frequency distribution with oscillating windows is proposed to extract the signals from heart sounds. Two types of mother wavelets are designed as matching templates based on the nature of murmurs. The time-frequency maps of the analyzed phonocardiographic (PCG) signal are compared to show which type of templates matches better with the systolic murmurs. Practical applications are addressed for two types of cardiac abnormalities, aortic stenosis and mitral regurgitation. It has been demonstrated that by means of using different oscillating window functions, different characteristics of the heart sounds associated to the heart disease can be enhanced in the time-frequency domain analysis.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction of vibration feature using purpose designed wavelets for heart diagnosis\",\"authors\":\"B. Tovar, W. J. Wang, J. Torry\",\"doi\":\"10.1109/ICWAPR.2010.5576406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The heart sounds with systolic murmurs can be characterized and visualized as a result of free and forced vibrations in human hearts. A joint time frequency distribution with oscillating windows is proposed to extract the signals from heart sounds. Two types of mother wavelets are designed as matching templates based on the nature of murmurs. The time-frequency maps of the analyzed phonocardiographic (PCG) signal are compared to show which type of templates matches better with the systolic murmurs. Practical applications are addressed for two types of cardiac abnormalities, aortic stenosis and mitral regurgitation. It has been demonstrated that by means of using different oscillating window functions, different characteristics of the heart sounds associated to the heart disease can be enhanced in the time-frequency domain analysis.\",\"PeriodicalId\":219884,\"journal\":{\"name\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2010.5576406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2010.5576406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

心脏收缩期的杂音可以被描述为人类心脏自由振动和强迫振动的结果。提出了一种带振荡窗的联合时频分布方法来提取心音信号。根据杂音的性质,设计了两种类型的母小波作为匹配模板。将分析的心音图(PCG)信号的时频图进行比较,以显示哪种类型的模板更符合收缩期杂音。实际应用解决了两种类型的心脏异常,主动脉瓣狭窄和二尖瓣反流。研究表明,通过使用不同的振荡窗函数,可以在时频域分析中增强与心脏病相关的心音的不同特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction of vibration feature using purpose designed wavelets for heart diagnosis
The heart sounds with systolic murmurs can be characterized and visualized as a result of free and forced vibrations in human hearts. A joint time frequency distribution with oscillating windows is proposed to extract the signals from heart sounds. Two types of mother wavelets are designed as matching templates based on the nature of murmurs. The time-frequency maps of the analyzed phonocardiographic (PCG) signal are compared to show which type of templates matches better with the systolic murmurs. Practical applications are addressed for two types of cardiac abnormalities, aortic stenosis and mitral regurgitation. It has been demonstrated that by means of using different oscillating window functions, different characteristics of the heart sounds associated to the heart disease can be enhanced in the time-frequency domain analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信