{"title":"A Real-Time Algorithm to Detect Inverted and Symmetrical T-Wave","authors":"M. Zarrini, A. Sadr","doi":"10.1109/ICCEE.2009.61","DOIUrl":null,"url":null,"abstract":"ECG signal processing is one of the earliest challenges for scientists as a tool for cardiovascular assessment. T-wave, as a part of ECG signal, is produced by ventricular repolarisation and its orientation usually corresponds with that of the QRS complex. Inverted T-wave in some leads can be a sign of abnormality. In this work we proposed a real-time algorithm to detect the polarity and symmetry of T-wave in those leads that contain positive R-peak. Abnormalities like myocardial ischaemia, can be identified by the proposed algorithm. This method is applied on 15 records of MIT-BIH of Physionet, in order to evaluate its performance. The real-time behavior of the algorithm makes it possible to be implemented on an ECG machine.","PeriodicalId":343870,"journal":{"name":"2009 Second International Conference on Computer and Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2009.61","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
ECG signal processing is one of the earliest challenges for scientists as a tool for cardiovascular assessment. T-wave, as a part of ECG signal, is produced by ventricular repolarisation and its orientation usually corresponds with that of the QRS complex. Inverted T-wave in some leads can be a sign of abnormality. In this work we proposed a real-time algorithm to detect the polarity and symmetry of T-wave in those leads that contain positive R-peak. Abnormalities like myocardial ischaemia, can be identified by the proposed algorithm. This method is applied on 15 records of MIT-BIH of Physionet, in order to evaluate its performance. The real-time behavior of the algorithm makes it possible to be implemented on an ECG machine.