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Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea Cover

Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea

Open Access
|Sep 2023

Authors

Usha Rani Kandukuri

Department of Biotechnology and Medical Engineering, National Institute of Technology, Odisha, India

Allam Jaya Prakash

School of Computing Science and Engineering (SCOPE), VIT Vellore, Vellore, India

Kiran Kumar Patro

Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, India

Bala Chakravarthy Neelapu

Department of Biotechnology and Medical Engineering, National Institute of Technology, Odisha, India

Ryszard Tadeusiewicz

Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Cracow, Poland

Paweł Pławiak

pawel.plawiak@pk.edu.pl

Department of Computer Science, Cracow University of Technology, Cracow, Poland
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland
DOI: https://doi.org/10.34768/amcs-2023-0036 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 493 - 506
Submitted on: Nov 24, 2022
Accepted on: May 18, 2023
Published on: Sep 21, 2023
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Usha Rani Kandukuri, Allam Jaya Prakash, Kiran Kumar Patro, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, Paweł Pławiak, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.