DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals
Author:
Funder
Ministère de l’Enseignement Supérieur et de la Recherche Scientifique
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference38 articles.
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3. How to use digital devices to detect and manage arrhythmias: An EHRA practical guide;Svennberg;Europace,2022
4. Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network;Ceylan;Expert Syst. Appl.,2007
5. Hybrid SVM for multiclass arrhythmia classification;Joshi,2009
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