{"title":"心电图逆问题的联合时空正则化","authors":"G.M. Maratos, D.H. Brooks","doi":"10.1109/NEBC.1993.404370","DOIUrl":null,"url":null,"abstract":"The authors attempt to characterize cardiac electrical activity based on non-invasive measurements on the torso surface and knowledge of body geometry. This problem is ill-conditioned and requires regularization. The authors present a new method for estimating the regularization parameter and a new method for using both temporal and spatial constraints in the regularization simultaneously.<<ETX>>","PeriodicalId":159783,"journal":{"name":"1993 IEEE Annual Northeast Bioengineering Conference","volume":"184 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint time and space regularization for the inverse problem of electrocardiography\",\"authors\":\"G.M. Maratos, D.H. Brooks\",\"doi\":\"10.1109/NEBC.1993.404370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors attempt to characterize cardiac electrical activity based on non-invasive measurements on the torso surface and knowledge of body geometry. This problem is ill-conditioned and requires regularization. The authors present a new method for estimating the regularization parameter and a new method for using both temporal and spatial constraints in the regularization simultaneously.<<ETX>>\",\"PeriodicalId\":159783,\"journal\":{\"name\":\"1993 IEEE Annual Northeast Bioengineering Conference\",\"volume\":\"184 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE Annual Northeast Bioengineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEBC.1993.404370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBC.1993.404370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint time and space regularization for the inverse problem of electrocardiography
The authors attempt to characterize cardiac electrical activity based on non-invasive measurements on the torso surface and knowledge of body geometry. This problem is ill-conditioned and requires regularization. The authors present a new method for estimating the regularization parameter and a new method for using both temporal and spatial constraints in the regularization simultaneously.<>