Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss-Reference-Cited by-同舟云学术

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Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss

Published:2020-08 Issue: Volume:123 Page:103866
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Romdhane Taissir Fekih,Alhichri Haikel,Ouni Ridha,Atri Mohamed

Funder

research center of the College of Computer and Information Sciences, King Saud University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference56 articles.

1. ECG feature extraction techniques - a survey approach;Karpagachelvi;Int. J. Comput. Sci. Inf. Secur.,2010

2. Arrhythmias in right heart disease;Bogdan,2018

3. ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: a comprehensive experimental study;Maršánová;Sci. Rep.,2017

4. Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system;Castillo;Expert Syst. Appl.,2012

5. Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram;Li;J. Electrocardiol.,2020

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