Quantitative Analysis of Machine and Deep Learning Models in Dysrhythmia Classification-Reference-Cited by-同舟云学术

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Quantitative Analysis of Machine and Deep Learning Models in Dysrhythmia Classification

Published:2023-10-27 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
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Author:

Hiremani Vani¹,Kumar Gunjan¹,Chundurwar Atharva¹,Dharmik Om¹,Patel Jeel¹

Affiliation:

1. Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Lavale,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525677/10525695/10526152.pdf?arnumber=10526152

Reference18 articles.

1. Cardiac Arrhythmia Classification Using Neural Networks with Selected Features

2. Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory

3. Electrocardiogram Heartbeat Classification Using Convolutional Neural Networks for the Detection of Cardiac Arrhythmia

4. Arrhythmia Classification Using Deep Learning: A Review;Ebrahimi;IEEE Transactions on Biomedical Engineering,2021

5. Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review

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