Bimodal Framework for Cardiac Arrhythmia Analysis using Deep Learning-Reference-Cited by-同舟云学术

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Bimodal Framework for Cardiac Arrhythmia Analysis using Deep Learning

Published:2024-05-02 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
language:
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Author:

N Kasthuri¹,Ravindaran Ramyea¹,N Sridhar²,V S Arunprasshath¹,S Abhineeth¹,S Bharathraj¹

Affiliation:

1. Kongu Engineering College,Department of ECE,Erode,India

2. CMR Institute of Technology,Department of ECE,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592863/10592866/10593889.pdf?arnumber=10593889

Reference14 articles.

1. Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms

2. Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care

3. Evaluation of a deep learning‐enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias

4. Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

5. Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

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