{"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.