{"title":"WAVELET-BICOHERENCE OR NORMALIZED WAVELET-BISPECTRUM BASED ANALYZING OF FETAL HEART RHYTHM","authors":"O. Viunytskyi, V. Shulgin, A. Totsky, V. Sharonov","doi":"10.36074/01.05.2020.v2.05","DOIUrl":null,"url":null,"abstract":"processes diagnostics on the analysis of electrocardiograms (ECG). Different be groups: stationary and non-stationary. Stationary signals have statistical and spectral characteristics that are constant over time, for a comprehensive description of which the Fourier transform is sufficient. ECG rhythmogram be attributed to the class of chaotic processes. The of a chaotic process change time, and other be used to analyze their method is wavelet the of work, a method for assessing the fetal heart rhythm, based on extracting an informative feature from the wavelet bicoherence of the rhythmogram.","PeriodicalId":231954,"journal":{"name":"НАУКОВЕ ЗАБЕЗПЕЧЕННЯ ТЕХНОЛОГІЧНОГО ПРОГРЕСУ XXI СТОРІЧЧЯ ТОМ 2","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"НАУКОВЕ ЗАБЕЗПЕЧЕННЯ ТЕХНОЛОГІЧНОГО ПРОГРЕСУ XXI СТОРІЧЧЯ ТОМ 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36074/01.05.2020.v2.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
processes diagnostics on the analysis of electrocardiograms (ECG). Different be groups: stationary and non-stationary. Stationary signals have statistical and spectral characteristics that are constant over time, for a comprehensive description of which the Fourier transform is sufficient. ECG rhythmogram be attributed to the class of chaotic processes. The of a chaotic process change time, and other be used to analyze their method is wavelet the of work, a method for assessing the fetal heart rhythm, based on extracting an informative feature from the wavelet bicoherence of the rhythmogram.