Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss-Reference-Cited by-同舟云学术

Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss

Published:2023-03 Issue:3 Volume:27 Page:1331-1341
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ding Cheng¹^ORCID,Xiao Ran²^ORCID,Do Duc H.³^ORCID,Lee David Scott⁴,Lee Randall J.⁵,Kalantarian Shadi⁵,Hu Xiao²^ORCID

Affiliation:

1. Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA, USA

2. Nell Hodgson Woodruff school of Nursing, Emory University, Atlanta, GA, USA

3. David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA

4. Department of Otolaryngology, Washington University in St. Louis, St Louis, MO, USA

5. School of Medicine, University of California, San Francisco, CA, USA

Funder

National Heart, Lung, and Blood Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221020/10063192/10008403.pdf?arnumber=10008403

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4. Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation

5. End-to-end deep learning from raw sensor data: Atrial fibrillation detection using wearables;gotlibovych,2018

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