Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 1 (January 2024)
Open Access
Self-Organized Operational Neural Networks for The Detection of Atrial Fibrillation
Junming Zhang
Junming Zhang
,
Hao Dong
Hao Dong
,
Jinfeng Gao
Jinfeng Gao
,
Ruxian Yao
Ruxian Yao
,
Gangqiang Li
Gangqiang Li
and
Haitao Wu
Haitao Wu
| Dec 25, 2023
Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Dec 25, 2023
Page range:
63 - 75
Received:
Oct 18, 2023
Accepted:
Dec 11, 2023
DOI:
https://doi.org/10.2478/jaiscr-2024-0004
Keywords
convolutional neural network
,
operational Neural Networks
,
atrial fibrillation detection
,
ECG classification
© 2024 Junming Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.