{"title":"异常心室电兴奋检测算法","authors":"Z. Yuldashev, A. Nemirko, D. Ripka","doi":"10.1109/AICT50176.2020.9368866","DOIUrl":null,"url":null,"abstract":"Detection algorithm of the ventricular late potentials using surface ECG signal for the diagnostics of abnormal electrical excitation of ventricular myocardium is developed, ventricular late potentials indicators reflecting the area size and degree of the ventricular excitation abnormality, verification method of abnormality detection using intracardial electrograms are suggested.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm for the Abnormal Ventricular Electrical Excitation Detection\",\"authors\":\"Z. Yuldashev, A. Nemirko, D. Ripka\",\"doi\":\"10.1109/AICT50176.2020.9368866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detection algorithm of the ventricular late potentials using surface ECG signal for the diagnostics of abnormal electrical excitation of ventricular myocardium is developed, ventricular late potentials indicators reflecting the area size and degree of the ventricular excitation abnormality, verification method of abnormality detection using intracardial electrograms are suggested.\",\"PeriodicalId\":136491,\"journal\":{\"name\":\"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICT50176.2020.9368866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT50176.2020.9368866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm for the Abnormal Ventricular Electrical Excitation Detection
Detection algorithm of the ventricular late potentials using surface ECG signal for the diagnostics of abnormal electrical excitation of ventricular myocardium is developed, ventricular late potentials indicators reflecting the area size and degree of the ventricular excitation abnormality, verification method of abnormality detection using intracardial electrograms are suggested.