Detection of OSA Through the Application of Deep Learning on Polysomnography Data

Detection of OSA Through the Application of Deep Learning on Polysomnography Data

This paper presents a comprehensive study on the application of deep learning techniques to accurately detect sleep apnea. The study leverages a dataset obtained from the Sleep Laboratory of the Department of Chest Diseases of Yozgat Bozok University, with the aim of developing an effective decision...

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Bibliographic Details
Main Authors: Hasan Ulutas, Recep Sinan Arslan, Muhammet Emin Sahin, Halil Ibrahim Cosar, Cagri Arisoy, Ahmet Sertol Koksal, Mehmet Bakir, Bulent Ciftci
Format: Article
Language:English
Published: Kaunas University of Technology 2024-12-01
Series:Elektronika ir Elektrotechnika
Subjects:
apnea
dnn
classification
preprocessing
sleep disorder
Online Access:https://eejournal.ktu.lt/index.php/elt/article/view/38399
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https://eejournal.ktu.lt/index.php/elt/article/view/38399

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