An Automated System for Arrhythmia Detection using ECG records from MITDB-Reference-Cited by-同舟云学术

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An Automated System for Arrhythmia Detection using ECG records from MITDB

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Roland Gilbert¹,J Dhana Sony.²,Padhi S. N.³,Kayalvili S.⁴,Cloudin S⁵,Kumar Ashok⁶

Affiliation:

1. Astria Learning Consortium of Universities,Department of Health Studies,Tampa,FL,USA,33602

2. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (formerly Known as Veltech Dr. RR& Dr.SR University),Department of Biomedical Engineering,Chennai,Tamilnadu,India,62

3. Koneru Lakshmaiah Education Foundation,Department of Mechanical Engineering,Vaddeswaram,Andhra Pradesh,India,522302

4. Velalar College of Engineering and Technology,Department of Computer Science and Engineering,Tamil Nadu,India

5. KCG College of Technology Karapakkam,Department of Information Technology,Chennai,Tamil Nadu,India,600097

6. Banasthali Vidyapith,Department of Computer Science,Banasthali,Rajasthan,India,304022

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028980/10028739/10029289.pdf?arnumber=10029289

Reference15 articles.

1. An automated detection of heart arrhythmias using machine learning technique: SVM;kumari;Mater Today Proc,2020

2. Local binary patterns for 1-D signal processing;chatlani;Signal Processing Conference,2010

3. Artificial neural networks: fundamentals, computing, design, and application

4. SMOTE: Synthetic Minority Over-sampling Technique

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