Comparison of Machine Learning Approaches for Classification of Cardiac Diseases-Reference-Cited by-同舟云学术

Comparison of Machine Learning Approaches for Classification of Cardiac Diseases

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Futuristic Technologies (INCOFT)
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Author:

Rayar Vijay¹,Rudrappa Gujanatti¹,Jadhav Sushant¹,Manage Prabhakar¹,Tigadi Arun¹,Shirol Suhas²

Affiliation:

1. KLE Technological University Dr. M S Sheshgiri College of Engineering and Technology Belagavi Campus,Department of Electronics and Communication,Karnataka,India

2. KLE Technological University Hubballi,School of Electronics and Communciation,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094317/10094318/10094525.pdf?arnumber=10094525

Reference10 articles.

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2. Heart Rate Monitoring and PQRST Detection Based on Graphical User Interface with Matlab;jaber;International Journal of Information and Electronics Engineering,2015

3. Analysis of Pan-Tompkins Algorithm Performance with Noisy ECG Signals - IOPscience;fariha;Analysis of Pan-Tompkins Algorithm Performance with Noisy ECG Signals - IOPscience,2020

4. Classification of arrhythmic ECG data using Artificial Neural Network;rayar;International Research Journal of Engineering and Technology (IRJET),2018

5. Prediction of Cardiac Arrhythmia using Artificial Neural Network;kelwade;International Journal of Computer Applications,0

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