Amazing Power of DINOv2 for Automatic Diagnosis of 12-Lead ECG-Reference-Cited by-同舟云学术

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Amazing Power of DINOv2 for Automatic Diagnosis of 12-Lead ECG

Published:2023-12-13 Issue: Volume:9 Page:1386-1391
ISSN:
Container-title:2023 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Singh Kushal Pal¹,Chandra B¹,Kalra Prem Kumar²,Narang Rajiv³

Affiliation:

1. ANSK School of Information Technology Indian Institute of Technology,Delhi,New Delhi,India

2. Indian Institute of Technology,Dept. of Computer Science and Engineering,Delhi,New Delhi,India

3. All India Institute of Medical Sciences,Dept. of Cardiology,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590067/10590000/10590559.pdf?arnumber=10590559

Reference21 articles.

1. Automatic diagnosis of the 12-lead ECG using a deep neural network

2. ECG signal analysis through hidden Markov models

3. Local fractal dimension based ECG arrhythmia classification

4. Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification

5. ECG arrhythmia classification based on optimum-path forest

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