Denoising/Synthesizing ECG Signal Data Classification (Arrhythmia) using GAN (Generative Adversarial Networks)-Reference-Cited by-同舟云学术

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Denoising/Synthesizing ECG Signal Data Classification (Arrhythmia) using GAN (Generative Adversarial Networks)

Published:2023-12-13 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 26th International Conference on Computer and Information Technology (ICCIT)
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Author:

Rahman Md Mustafizur¹,Kabir Shahriar¹,Ghose Rajib¹,Rahman Md Mahbubur¹,Mahmudur Rahman Md²

Affiliation:

1. Military Institute of Science and Technology,(MIST),Department of Computer Science and Engineering,Dhaka,Bangladesh,1216

2. Sylhet MAG Osmany Medical College

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441304.pdf?arnumber=10441304

Reference35 articles.

1. ECG signal denoising and baseline wander correction based on the empirical mode decomposition

2. Multi-information fusion neural networks for arrhythmia automatic detection

3. Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks

4. Automated Detection of Cardiac Arrhythmia Based on a Hybrid CNN-LSTM Network

5. A CNN Model for Cardiac Arrhythmias Classification Based on Individual ECG Signals

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