Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation-Reference-Cited by-同舟云学术

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Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Qiu Jingna¹,Oppelt Maximilian P²,Nissen Michael³,Anneken Lars¹,Breininger Katharina³,Eskofier Bjoern⁴

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg,Department of Artifical Intelligence in Biomedical Engineering,Erlangen,91054

2. Fraunhofer Institute for Integrated Circuits,Erlangen,Germany,91058

3. Friedrich-Alexander-Universitat Erlangen-Nürnberg,Department of Artifical Intelligence in Biomedical Engineering,Erlangen,Germany,91054

4. Friedrich-Alexander-Universität Erlangen-Niirnberg,Erlangen,Germany,91054

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871969.pdf?arnumber=9871969

Reference23 articles.

1. Self-supervised representation learning from 12-lead ECG data;mehari;arXiv 2103 12676,2021

2. Rotational data augmentation for electroencephalographic data

3. Subject-aware contrastive learning for biosignals;cheng;arXiv 2007 04871,2020

4. An Accurate, Clinically Practical System For Spatial Vectorcardiography

5. HEART-VECTOR AND LEADS.: Part III geometrical representation

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. A Systematic Survey of Data Augmentation of ECG Signals for AI Applications;Sensors;2023-05-31

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