A Multitier Deep Learning Model for Arrhythmia Detection-Reference-Cited by-同舟云学术

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A Multitier Deep Learning Model for Arrhythmia Detection

Published:2021 Issue: Volume:70 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Hammad Mohamed^ORCID,Iliyasu Abdullah M.^ORCID,Subasi Abdulhamit^ORCID,Ho Edmond S. L.^ORCID,El-Latif Ahmed A. Abd^ORCID

Funder

Prince Sattam Bin Abdulaziz University, Saudi Arabia, via the Deanship for Scientific Research

Advanced Computational Intelligence and Intelligent Systems Engineering (ACIISE) Research Group

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09239355.pdf?arnumber=9239355

Cited by 166 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving ECG signal quality assessment through swin-transformer-based generative adversarial network;Biomedical Signal Processing and Control;2024-12

2. A self-supervised framework for computer-aided arrhythmia diagnosis;Applied Soft Computing;2024-10

3. Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs;Computers in Biology and Medicine;2024-09

4. Detection of Arrhythmias Using Heart Rate Signals from Smartwatches;Applied Sciences;2024-08-16

5. A deep learning framework for ECG denoising and classification;Biomedical Signal Processing and Control;2024-08

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