ACAC: Automatic Cardiac Arrhythmia Classification Based on 1D-Deep Resnet-Reference-Cited by-同舟云学术

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ACAC: Automatic Cardiac Arrhythmia Classification Based on 1D-Deep Resnet

Published:2024-03-15 Issue: Volume:22 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

Fathima M. Dhilsath¹^ORCID,Sithsabesan S²,K Jayanthi³,U Dhanyaa S³

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

2. Dr. Sagunthala Engineering College,VelTech Multitech Dr. Rangarajan,Department of Mathematics,Chennai,Tamil Nadu,India

3. SRM Institute of Science and Technology,Department of Computer Science and Technology,Tiruchirappalli,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649362.pdf?arnumber=10649362

Reference19 articles.

1. Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories;Penghong;International Journal for Equity in Health,2023

2. A novel deep neural networhk eartbeats classifier for heart health monitoring;Velagapudi;International Journal of Intelligent Networks,2023

3. Dental Management Considerations for Patients with Cardiovascular Disease—A Narrative Review

4. Artificial intelligence in cardiology

5. Automated ECG classification based on 1D deep learning network

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