Q. Zhang, A. Manriquez, C. Médigue, Y. Papelier, M. Sorine
{"title":"Robust and efficient location of T-wave ends in electrocardiogram","authors":"Q. Zhang, A. Manriquez, C. Médigue, Y. Papelier, M. Sorine","doi":"10.1109/CIC.2005.1588203","DOIUrl":null,"url":null,"abstract":"A new algorithm is proposed in this paper for T-wave end location in electrocardiogram (ECG). It mainly consists of the computation of an indicator related to the area covered by the T-wave curve and delimited in a special manner. Based on simple assumptions, essentially on the concavity of the T-wave form, it is proved that the maximum of the computed indicator inside each cardiac cycle coincides with the T-wave end. The algorithm is robust to measurement noise, to wave form morphological variations and to baseline wander. It is also computationally very simple: the main computation can be implemented as a simple finite impulse response (FIR) filter","PeriodicalId":239491,"journal":{"name":"Computers in Cardiology, 2005","volume":"306 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Cardiology, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2005.1588203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
A new algorithm is proposed in this paper for T-wave end location in electrocardiogram (ECG). It mainly consists of the computation of an indicator related to the area covered by the T-wave curve and delimited in a special manner. Based on simple assumptions, essentially on the concavity of the T-wave form, it is proved that the maximum of the computed indicator inside each cardiac cycle coincides with the T-wave end. The algorithm is robust to measurement noise, to wave form morphological variations and to baseline wander. It is also computationally very simple: the main computation can be implemented as a simple finite impulse response (FIR) filter