Classification of atrial electrograms in atrial fibrillation using Information Theory-based measures

J. Nicolet, Juan F. Restrepo, G. Schlotthauer
{"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于信息理论的房颤心电图分类
复杂分割心房电图(CFAE)的分类对于房颤的研究和治疗策略的制定至关重要,因为这些电生理现象代表了射频消融的共同目标。自2004年对CFAEs进行描述以来,科学界一直致力于将其特征和自动分类考虑到分离程度,这是一种用于消融手术的临床量表。与cfae相关的心内膜部位通常是消融治疗的靶点,尽管它们在心律失常的维持中起作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure A study of the application of computational intelligence and machine learning techniques in business process mining - A brief Usage of street-level imagery for city-wide graffiti mapping Deep Genetic Programming SafePredict: A Machine Learning Meta-Algorithm That Uses Refusals to Guarantee Correctness
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1