Convolutional neural networks predict the onset of paroxysmal atrial fibrillation: Theory and applications-Reference-Cited by-同舟云学术

Convolutional neural networks predict the onset of paroxysmal atrial fibrillation: Theory and applications

Author:

Surucu M.¹^ORCID,Isler Y.²³^ORCID,Perc M.⁴⁵⁶⁷^ORCID,Kara R.¹^ORCID

Affiliation:

1. Department of Computer Engineering, Duzce University, 81620 Duzce, Turkey

2. Department of Biomedical Engineering, Izmir Katip Celebi University, Cigli, 35620 Izmir, Turkey

3. Islerya Medical and Information Technologies Company, Bornova, 35030 Izmir, Turkey

4. Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, 2000 Maribor, Slovenia

5. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404332, Taiwan

6. Alma Mater Europaea, Slovenska ulica 17, 2000 Maribor, Slovenia

7. Complexity Science Hub Vienna, Josefstädterstraße 39, 1080 Vienna, Austria

Funder

Slovenian Research Agency

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

Reference67 articles.

3. G. B. Moody, 2001, PAF Prediction Challenge Database, published in PhysioNet, Version: 1.0.0, https://doi.org/10.13026/C2H59W

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