{"title":"基于信息理论的房颤心电图分类","authors":"J. Nicolet, Juan F. Restrepo, G. Schlotthauer","doi":"10.52591/lxai201906151","DOIUrl":null,"url":null,"abstract":"Classification of complex fractionated atrial electrograms (CFAE) is crucial for the study of atrial fibrillation and for the development of treatment strategies, because these electrophysiological phenomena represent a common target for radiofrequency ablation. Since the description of CFAEs in 2004, the scientific community have been focused their efforts into its characterization and automatic classification considering the degree of fractionation, a clinical scale used in ablation procedures. Endocardial sites associated to CFAEs are usual targets in ablation therapy, as is though that they play a role in maintenance of the arrhythmia.","PeriodicalId":402227,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2019","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classification of atrial electrograms in atrial fibrillation using Information Theory-based measures\",\"authors\":\"J. Nicolet, Juan F. Restrepo, G. Schlotthauer\",\"doi\":\"10.52591/lxai201906151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Classification of complex fractionated atrial electrograms (CFAE) is crucial for the study of atrial fibrillation and for the development of treatment strategies, because these electrophysiological phenomena represent a common target for radiofrequency ablation. Since the description of CFAEs in 2004, the scientific community have been focused their efforts into its characterization and automatic classification considering the degree of fractionation, a clinical scale used in ablation procedures. Endocardial sites associated to CFAEs are usual targets in ablation therapy, as is though that they play a role in maintenance of the arrhythmia.\",\"PeriodicalId\":402227,\"journal\":{\"name\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52591/lxai201906151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LatinX in AI at International Conference on Machine Learning 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52591/lxai201906151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification of atrial electrograms in atrial fibrillation using Information Theory-based measures
Classification of complex fractionated atrial electrograms (CFAE) is crucial for the study of atrial fibrillation and for the development of treatment strategies, because these electrophysiological phenomena represent a common target for radiofrequency ablation. Since the description of CFAEs in 2004, the scientific community have been focused their efforts into its characterization and automatic classification considering the degree of fractionation, a clinical scale used in ablation procedures. Endocardial sites associated to CFAEs are usual targets in ablation therapy, as is though that they play a role in maintenance of the arrhythmia.