Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings-Reference-Cited by-同舟云学术

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Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings

Published:2021-12 Issue: Volume:139 Page:104880
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zhang Peng,Ma Chenbin,Sun Yangyang,Fan Guangda,Song Fan,Feng Youdan,Zhang Guanglei

Funder

Fundamental Research Funds for the Central Universities

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference41 articles.

1. Cardioembolic stroke, contin. Lifelong learn;O'Carroll;Neurol.,2017

2. Association between Atrial fibrillation and silent cerebral infarctions: a systematic review and meta-analysis;Kalantarian;Ann. Intern. Med.,2014

3. Manifestations of coronary arterial injury during catheter ablation of atrial fibrillation and related arrhythmias;Chugh;Heart Rhythm,2013

4. Usefulness of ambulatory 7-day ECG monitoring for the detection of atrial fibrillation and flutter after acute stroke and transient ischemic attack;Jabaudon;Stroke,2004

5. Computer-interpreted electrocardiograms: benefits and limitations;Schläpfer;J. Am. Coll. Cardiol.,2017

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