如何利用具有相关性的心音时频特征预测分流速度-时间积分的研究

Mengying Zhou, H. Duan, Q. Shu, Jingjing Ye, Haomin Li
{"title":"如何利用具有相关性的心音时频特征预测分流速度-时间积分的研究","authors":"Mengying Zhou, H. Duan, Q. Shu, Jingjing Ye, Haomin Li","doi":"10.1109/ICITBE54178.2021.00088","DOIUrl":null,"url":null,"abstract":"Some cardiac diseases, such as ventricular or aortic septal defects, will cause shunt lesions accompanied by murmurs. The hemodynamic properties of shunt flow can he measured quantitatively through Doppler echocardiography. The velocity-time integral (VTI) of shunt flow is one of the important hemodynamic properties and is commonly used for the evaluation of cardiac function and treatment. On the other hand, heart sounds are used to predict cardiac diseases by mapping them to the time-frequency domain. This study aims to analyze correlations between different frequency hands of heart sounds and hemodynamic properties of shunt flow and predict VTI values using time-frequency features of heart sounds. The results showed that different frequency hands of heart sounds contributed significantly to the correlation and the support vector regression model has a certain potential in the prediction of VTI.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on predicting velocity-time integral of shunt How using time-frequency features of heart sound with correlation\",\"authors\":\"Mengying Zhou, H. Duan, Q. Shu, Jingjing Ye, Haomin Li\",\"doi\":\"10.1109/ICITBE54178.2021.00088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some cardiac diseases, such as ventricular or aortic septal defects, will cause shunt lesions accompanied by murmurs. The hemodynamic properties of shunt flow can he measured quantitatively through Doppler echocardiography. The velocity-time integral (VTI) of shunt flow is one of the important hemodynamic properties and is commonly used for the evaluation of cardiac function and treatment. On the other hand, heart sounds are used to predict cardiac diseases by mapping them to the time-frequency domain. This study aims to analyze correlations between different frequency hands of heart sounds and hemodynamic properties of shunt flow and predict VTI values using time-frequency features of heart sounds. The results showed that different frequency hands of heart sounds contributed significantly to the correlation and the support vector regression model has a certain potential in the prediction of VTI.\",\"PeriodicalId\":207276,\"journal\":{\"name\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITBE54178.2021.00088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITBE54178.2021.00088","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

一些心脏疾病,如心室或主动脉间隔缺损,会引起分流病变并伴有杂音。多普勒超声心动图可以定量测量分流流的血流动力学特性。分流血流的速度-时间积分(VTI)是重要的血流动力学特性之一,常用于心功能评价和治疗。另一方面,心音通过映射到时频域来预测心脏病。本研究旨在分析心音不同频率手与分流血流动力学特性的相关性,并利用心音时频特征预测VTI值。结果表明,不同频率手心音对相关性有显著贡献,支持向量回归模型在VTI预测中具有一定的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on predicting velocity-time integral of shunt How using time-frequency features of heart sound with correlation
Some cardiac diseases, such as ventricular or aortic septal defects, will cause shunt lesions accompanied by murmurs. The hemodynamic properties of shunt flow can he measured quantitatively through Doppler echocardiography. The velocity-time integral (VTI) of shunt flow is one of the important hemodynamic properties and is commonly used for the evaluation of cardiac function and treatment. On the other hand, heart sounds are used to predict cardiac diseases by mapping them to the time-frequency domain. This study aims to analyze correlations between different frequency hands of heart sounds and hemodynamic properties of shunt flow and predict VTI values using time-frequency features of heart sounds. The results showed that different frequency hands of heart sounds contributed significantly to the correlation and the support vector regression model has a certain potential in the prediction of VTI.
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:604180095
Book学术官方微信