Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis-Reference-Cited by-同舟云学术

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Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis

Published:2024 Issue: Volume:12 Page:36002-36015
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Neifar Nour¹^ORCID,Ben-Hamadou Achraf²^ORCID,Mdhaffar Afef¹^ORCID,Jmaiel Mohamed¹^ORCID,Freisleben Bernd³

Affiliation:

1. ReDCAD Lab, ENIS, University of Sfax, Sfax, Tunisia

2. Laboratory of Signals, Systems, Artificial Intelligence and Networks (SM@RTS), Centre de Recherche en Numérique de Sfax, Technopôle de Sfax, Sfax, Tunisia

3. Department of Mathematics and Computer Science, Philipps-Universität Marburg, Marburg, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10459195.pdf?arnumber=10459195

Reference47 articles.

1. A Survey of the Usages of Deep Learning for Natural Language Processing

2. The application of deep learning in computer vision

3. Deep learning and its applications to machine health monitoring

4. Deep Generative Models: The winning key for large and easily accessible ECG datasets?

5. Deep generative models for physiological signals: A systematic literature review;Neifar;arXiv:2307.06162,2023

Cited by 2 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. Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach;Circuits, Systems, and Signal Processing;2024-07-29

2. Generative AI models in time varying biomedical data: a systematic review (Preprint);2024-04-30

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