On variance based methods in computer-aided phonocardiography

A. Gavrovska, M. Paskas, I. Reljin, B. Reljin
{"title":"On variance based methods in computer-aided phonocardiography","authors":"A. Gavrovska, M. Paskas, I. Reljin, B. Reljin","doi":"10.1109/NEUREL.2014.7011445","DOIUrl":null,"url":null,"abstract":"New trends in cardiosignal processing show that local fluctuations of the signals may reveal important information for computer-aided analysis. Even though the calculation of variance as a global measure is valuable, variation described locally and in one or more scales can represent a convenient way to describe details found in a signal. In this paper, several experimental results obtained using variance based methods, such as local variance estimation and multifractal detrended fluctuation analysis (MF-DFA), are discussed in interpreting phonocardiograms and their content. The experiments show promising results for computer-aided phonocardiography that can be implemented at low cost.","PeriodicalId":402208,"journal":{"name":"12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2014.7011445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

New trends in cardiosignal processing show that local fluctuations of the signals may reveal important information for computer-aided analysis. Even though the calculation of variance as a global measure is valuable, variation described locally and in one or more scales can represent a convenient way to describe details found in a signal. In this paper, several experimental results obtained using variance based methods, such as local variance estimation and multifractal detrended fluctuation analysis (MF-DFA), are discussed in interpreting phonocardiograms and their content. The experiments show promising results for computer-aided phonocardiography that can be implemented at low cost.
基于方差的计算机辅助心音造影方法研究
心脏信号处理的新趋势表明,信号的局部波动可能为计算机辅助分析提供重要信息。尽管方差作为一种全局度量的计算是有价值的,但局部和在一个或多个尺度上描述的变化可以代表一种描述信号中发现的细节的方便方法。本文讨论了几种基于方差的实验结果,如局部方差估计和多重分形去趋势波动分析(MF-DFA)在解释心音图及其内容中的应用。实验结果表明,计算机辅助心音诊查可以低成本地实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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