{"title":"用小波检测器连续监测断桥后P波参数","authors":"S. Sovilj, G. Rajsman, R. Magjarevic","doi":"10.1109/CIC.2005.1588264","DOIUrl":null,"url":null,"abstract":"The aim of the study was to develop methodology for long-term study of ECG parameters, in particular the P wave parameters. In this study we address continuous monitoring of different P wave parameters in the group of patients after coronary artery bypass grafting (CABG) in order to examine potential predictors of atrial fibrillation. Lead II of the standard surface ECG was recorded in the period of typically 48 hours in patients after CABG. Dyadic wavelet transform analysis with first derivation of Gaussian smoothing function as a mother wavelet, was used for a QRS and a P wave detection, characterization and delineation. During the recording, for every patient, in every hour, vector of 108 P wave components was calculated, allowing continuous and deeper insight into atrial activity","PeriodicalId":239491,"journal":{"name":"Computers in Cardiology, 2005","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Continuous multiparameter monitoring of P wave parameters after CABG using wavelet detector\",\"authors\":\"S. Sovilj, G. Rajsman, R. Magjarevic\",\"doi\":\"10.1109/CIC.2005.1588264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the study was to develop methodology for long-term study of ECG parameters, in particular the P wave parameters. In this study we address continuous monitoring of different P wave parameters in the group of patients after coronary artery bypass grafting (CABG) in order to examine potential predictors of atrial fibrillation. Lead II of the standard surface ECG was recorded in the period of typically 48 hours in patients after CABG. Dyadic wavelet transform analysis with first derivation of Gaussian smoothing function as a mother wavelet, was used for a QRS and a P wave detection, characterization and delineation. During the recording, for every patient, in every hour, vector of 108 P wave components was calculated, allowing continuous and deeper insight into atrial activity\",\"PeriodicalId\":239491,\"journal\":{\"name\":\"Computers in Cardiology, 2005\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Cardiology, 2005\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2005.1588264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Cardiology, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2005.1588264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous multiparameter monitoring of P wave parameters after CABG using wavelet detector
The aim of the study was to develop methodology for long-term study of ECG parameters, in particular the P wave parameters. In this study we address continuous monitoring of different P wave parameters in the group of patients after coronary artery bypass grafting (CABG) in order to examine potential predictors of atrial fibrillation. Lead II of the standard surface ECG was recorded in the period of typically 48 hours in patients after CABG. Dyadic wavelet transform analysis with first derivation of Gaussian smoothing function as a mother wavelet, was used for a QRS and a P wave detection, characterization and delineation. During the recording, for every patient, in every hour, vector of 108 P wave components was calculated, allowing continuous and deeper insight into atrial activity