The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks-Reference-Cited by-同舟云学术

The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Hatamian Faezeh Nejati¹,Ravikumar Nishant²,Vesal Sulaiman³,Kemeth Felix P.¹,Struck Matthias¹,Maier Andreas³

Affiliation:

1. Fraunhofer Institute for Integrated Circuits IIS,Department of Image Processing and Medical Technology,Erlangen,Germany

2. University of Leeds,Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, LICAMM Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine,United Kingdom

3. Friedrich-Alexander University Erlangen-Nürnberg,Pattern Recognition Lab,Erlangen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09053800.pdf?arnumber=9053800

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