Detection of Myocardial Infarction from 12 Lead ECG Images-Reference-Cited by-同舟云学术

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Detection of Myocardial Infarction from 12 Lead ECG Images

Published:2021-07-27 Issue: Volume: Page:
ISSN:
Container-title:2021 National Conference on Communications (NCC)
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Author:

Sane Ravi Kumar Sanjay,Choudhary Pharvesh Salman,Sharma L N,Dandapat Prof. Samarendra

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9530003/9530009/09530154.pdf?arnumber=9530154

Cited by 5 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. Automated Detection of Myocardial Infarction with Scalogram Technique and Deep Convolutional Neural Network;Studies in Autonomic, Data-driven and Industrial Computing;2024

2. A Smartphone-Enabled Deep Learning Approach for Myocardial Infarction Detection Using ECG Traces for IoT-Based Healthcare Applications;IEEE Sensors Letters;2023-11

3. Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiograms;Scientific Reports;2023-08-28

4. Spa-Tem MI: A Spatial–Temporal Network for Detecting and Locating Myocardial Infarction;IEEE Transactions on Instrumentation and Measurement;2023

5. Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning;IEEE Transactions on Instrumentation and Measurement;2023

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