{"title":"非接触式探头估计心内膜电位方法的比较","authors":"R. Throne, L. Olson, G. Bu, J. Windle","doi":"10.1109/CIC.2002.1166770","DOIUrl":null,"url":null,"abstract":"In this paper we compare zero and first order Tikhonov and Generalized Eigensystem (GES) regularization for estimating the endocardial potentials from measured potentials on a noncontact probe. In all cases, the Composite Residual Error and Smoothing Operator (CRESO) was used to estimate the regularization parameter In this limited study the use of higher order regularization produced larger average correlation coefficients between the estimated and measured endocardial electrograms.","PeriodicalId":80984,"journal":{"name":"Computers in cardiology","volume":"1 1","pages":"309-311"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2002.1166770","citationCount":"0","resultStr":"{\"title\":\"A comparison of methods for estimating endocardial potentials from a noncontact probe\",\"authors\":\"R. Throne, L. Olson, G. Bu, J. Windle\",\"doi\":\"10.1109/CIC.2002.1166770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we compare zero and first order Tikhonov and Generalized Eigensystem (GES) regularization for estimating the endocardial potentials from measured potentials on a noncontact probe. In all cases, the Composite Residual Error and Smoothing Operator (CRESO) was used to estimate the regularization parameter In this limited study the use of higher order regularization produced larger average correlation coefficients between the estimated and measured endocardial electrograms.\",\"PeriodicalId\":80984,\"journal\":{\"name\":\"Computers in cardiology\",\"volume\":\"1 1\",\"pages\":\"309-311\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/CIC.2002.1166770\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2002.1166770\",\"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","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2002.1166770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of methods for estimating endocardial potentials from a noncontact probe
In this paper we compare zero and first order Tikhonov and Generalized Eigensystem (GES) regularization for estimating the endocardial potentials from measured potentials on a noncontact probe. In all cases, the Composite Residual Error and Smoothing Operator (CRESO) was used to estimate the regularization parameter In this limited study the use of higher order regularization produced larger average correlation coefficients between the estimated and measured endocardial electrograms.
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