Constant Q–Transform–Based Deep Learning Architecture for Detection of Obstructive Sleep Apnea
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
Department of Computer Science, Cracow University of Technology, Cracow, Poland
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland
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
Keywords:
Related subjects:
© 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.