Automated Heartbeat Classification for Arrhythmia Patients Using a Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Automated Heartbeat Classification for Arrhythmia Patients Using a Deep Convolutional Neural Network

Published:2024-04-21 Issue: Volume:15 Page:1-8
ISSN:
Container-title:2024 8th International Conference on Image and Signal Processing and their Applications (ISPA)
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Author:

Kerdoudi Saoueb¹,Guezouli Larbi²,Hattab Abdessalam¹,Dilekh Tahar³

Affiliation:

1. University of Batna 2,LaSTIC Laboratory,Computer Science Department,Batna,Algeria

2. Higher National School of Renewable Energies, Environment and Sustainable Development,LEREESI, Laboratory of Renewable Energy Energy Efficiency and Smart Systems,Batna,Algeria

3. University of Batna 2,LAMIE Laboratory,Computer Science Department,Batna,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10536721/10536698/10536782.pdf?arnumber=10536782

Reference39 articles.

1. L’oms lève le voile sur les principales causes de mortalité et d’incapacité dans le monde : 2000-2019,2020

2. 150 Practice ECGs

3. Automated heartbeat classification based on deep neural network with multiple input layers

4. Sudden Death Due to Cardiac Arrhythmias

5. Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram

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