T. F. Sherbakova, S. S. Sedov, E. Galimzyanov, S. E. Zaynullin
{"title":"The Detection Algorithm of QRS-Complex Fiducial Points in the Electrocardiosignal","authors":"T. F. Sherbakova, S. S. Sedov, E. Galimzyanov, S. E. Zaynullin","doi":"10.1109/SYNCHROINFO.2019.8814010","DOIUrl":null,"url":null,"abstract":"The paper is devoted to the creation of an algorithm for determining the parameters of the electrocardiosignal (ECS) QRS-complex. The ECS model is created, all elements of which have average values of parameters of real ECS. An algorithm is developed that determines the temporal position of the peaks of the QRS-complex, as well as its beginning and end. The work of the algorithm when applying white Gaussian noise on the ECS is investigated. According to the research results, an algorithm of noise smoothing was developed and applied. This algorithm is based on averaging the signal in a specially selected time interval.","PeriodicalId":363848,"journal":{"name":"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","volume":"48 5-6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNCHROINFO.2019.8814010","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
The paper is devoted to the creation of an algorithm for determining the parameters of the electrocardiosignal (ECS) QRS-complex. The ECS model is created, all elements of which have average values of parameters of real ECS. An algorithm is developed that determines the temporal position of the peaks of the QRS-complex, as well as its beginning and end. The work of the algorithm when applying white Gaussian noise on the ECS is investigated. According to the research results, an algorithm of noise smoothing was developed and applied. This algorithm is based on averaging the signal in a specially selected time interval.