Classification of atrial fibrillation episodes using short ECG segments

被引:0
作者
Ortigosa, Nuria [1 ]
Cano, Scar [2 ]
Andrs, Ana [2 ]
Fernandez, Carmen [3 ]
Galbis, Antonio [3 ]
Ayala, Guillermo [4 ]
机构
[1] Univ Politecn Valencia, IU Matemt Pura & Aplicada, Camino Vera S-N, Valencia 46022, Spain
[2] Hosp Univ & Politcn La Fe, Inst Investigacin Sanitaria La Fe, Serv Cardiol, Valencia 46026, Spain
[3] Univ Valencia, Dept Math Anal, E-46100 Burjassot, Spain
[4] Univ Valencia, Dept Stat & Operat Res, E-46100 Burjassot, Spain
来源
2014 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) | 2014年
关键词
ASSOCIATION TASK-FORCE; SPONTANEOUS TERMINATION; AMERICAN-COLLEGE; PREDICTION; MANAGEMENT;
D O I
暂无
中图分类号
R-058 [];
学科分类号
摘要
This paper presents a method to classify different subtypes of atrial fibrillation episodes by analyzing short segments of electrocardiograms. We will process surface ECGs segments by time-frequency transforms to extract relevant features that will be used as input to a neural network classifier. As atrial fibrillation presents a progressive nature, this method can be a very useful tool in order to differentiate the progress of the arrythmia in each patient.
引用
收藏
页码:569 / 572
页数:4
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