sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification-Reference-Cited by-同舟云学术

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sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification

Published:2023-06 Issue:6 Volume:27 Page:2818-2828
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Le Duc¹^ORCID,Truong Sang¹,Brijesh Patel²,Adjeroh Donald A.³,Le Ngan¹^ORCID

Affiliation:

1. Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, USA

2. Division of Cardiology, School of Medicine, West Virginia University, Morgantown, WV, USA

3. Department of Computer Science and Electrical Engineering (LCSEE), West Virginia University, Morgantown, WV, USA

Funder

National Science Foundation

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

https://ieeexplore.ieee.org/ielam/6221020/10144459/10057484-aam.pdf

Reference53 articles.

1. Learning a Similarity Metric Discriminatively, with Application to Face Verification

2. Subject-aware contrastive learning for biosignals;cheng;ArXiv,2020

3. Noisy ECG Signal Analysis for Automatic Peak Detection

4. MADNN: A Multi-scale Attention Deep Neural Network for Arrythmia Classification

5. Data Science

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