ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention-Reference-Cited by-同舟云学术

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ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
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Author:

Mousavi Sajad,Afghah Fatemeh,Razi Abolfazl,Acharya U. Rajendra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8819609/8834448/08834637.pdf?arnumber=8834637

Cited by 41 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. IMC-ResNet: Atrial fibrillation detection method based on interlayer multiscale coupling;Biomedical Signal Processing and Control;2024-11

2. Higher-Order Spectral Analysis Combined with a Convolution Neural Network for Atrial Fibrillation Detection-Preliminary Study;Sensors;2024-06-27

3. Multiscale dilated convolutional neural network for Atrial Fibrillation detection;PLOS ONE;2024-06-03

4. Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet;Frontiers in Physiology;2024-04-09

5. Multi-label arrhythmia classification using 12-lead ECG based on lead feature guide network;Engineering Applications of Artificial Intelligence;2024-03

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