AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification-Reference-Cited by-同舟云学术

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification

Published:2024-10 Issue:10 Volume:46 Page:6542-6558
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Shen Yanting¹^ORCID,Lu Lei¹^ORCID,Zhu Tingting¹^ORCID,Wang Xinshao¹^ORCID,Clifton Lei²^ORCID,Chen Zhengming²^ORCID,Clarke Robert²,Clifton David A.¹^ORCID

Affiliation:

1. Department of Engineering Science, University of Oxford, Oxford, U.K.

2. Nuffield Department of Population Health, University of Oxford, Oxford, U.K.

Funder

Pandemic Sciences Institute at the University of Oxford

National Institute for Health Research (NIHR) Oxford Biomedical Research Centre

NIHR Research Professorship

Royal Academy of Engineering Research Chair

Wellcome Trust funded VITAL

Engineering and Physical Sciences Research Council

InnoHK Hong Kong Centre for Centre for Cerebro-cardiovascular Engineering

RCUK Digital Economy Programme

MRC

Wellcome Trust

British Heart Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10666888/10477593.pdf?arnumber=10477593

Reference65 articles.

1. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

2. Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

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

4. Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study

5. SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead electrocardiogram synthesis