A. Gavrovska, G. Zajic, I. Reljin, V. Bogdanovic, B. Reljin
{"title":"Second generation wavelets: Advantages in cardiosignal processing","authors":"A. Gavrovska, G. Zajic, I. Reljin, V. Bogdanovic, B. Reljin","doi":"10.1109/TELSKS.2013.6704942","DOIUrl":null,"url":null,"abstract":"In this paper, the cardiosignal analysis using second generation wavelets and lifting structure based on clinically-relevant extracted information is described. The information extraction can be performed by different spectral (such as multifractal) and spectrogram (time-frequency) representations. Here, the novelties are related mainly to the knowledge-controlled analysis and noise reduction in phonocardiograms. We suggest adaptive (signal-dependent) wavelet-based processing able to simultaneously preserve relevant high-frequency details and reduce noise.","PeriodicalId":144044,"journal":{"name":"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2013.6704942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, the cardiosignal analysis using second generation wavelets and lifting structure based on clinically-relevant extracted information is described. The information extraction can be performed by different spectral (such as multifractal) and spectrogram (time-frequency) representations. Here, the novelties are related mainly to the knowledge-controlled analysis and noise reduction in phonocardiograms. We suggest adaptive (signal-dependent) wavelet-based processing able to simultaneously preserve relevant high-frequency details and reduce noise.