Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Author:
Funder
National Science Foundation
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference231 articles.
1. A deep convolutional neural network model to classify heartbeats;Acharya;Comput. Biol. Med.,2017
2. Dense convolutional networks with focal loss and image generation for electrocardiogram classification;Al Rahhal;IEEE Access,2019
3. Optimal parameters study for sample entropy-based atrial fibrillation organization analysis;Alcaraz;Comput. Methods Progr. Biomed.,2010
4. A deep learning approach for real-time detection of atrial fibrillation;Andersen;Expert Syst. Appl.,2019
5. Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ecg;Andreotti,2017
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