ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs-Reference-Cited by-同舟云学术

ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs

Published:2024-07 Issue:7 Volume:71 Page:2143-2153
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Chen Long¹^ORCID,Jiang Zheheng²^ORCID,Barker Joseph³^ORCID,Zhou Huiyu²^ORCID,Schlindwein Fernando⁴^ORCID,Nicolson Will⁵^ORCID,Ng G. Andre⁵^ORCID,Li Xin⁶^ORCID

Affiliation:

1. Department of Medical Physics and Biomedical Engineering, University College London, U.K.

2. School of Computing and Mathematical Sciences, University of Leicester, U.K.

3. Faculty of Medicine, Imperial College London, U.K.

4. School of Engineering, University of Leicester, U.K.

5. Department of Cardiovascular Sciences, University of Leicester, U.K.

6. School of Engineering, University of Leicester, Leicester, U.K.

Funder

British Heart Foundation

Medical Research Council

BHF Project

BHF Programme

SJM/Abbott, Medtronic, and Biosense Webster

National Institute for Health and Care Research

NIHR Leicester Biomedical Research Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10/10564800/10423187.pdf?arnumber=10423187

Reference42 articles.

1. Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions

2. Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification

3. Automatic and Robust Delineation of the Fiducial Points of the Seismocardiogram Signal for Noninvasive Estimation of Cardiac Time Intervals

4. Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models

Cited by 1 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. Inferring spatial–temporal dynamics of ECG signals with deep neural networks for cardiovascular diseases diagnosis;Biomedical Signal Processing and Control;2024-11