Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study

Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study

Sleep apnea (SA) is one of the most prevalent sleep-related problems, impacting more than 100 million people worldwide. A full-night Polysomnography (PSG) is an effective SA diagnosis strategy. However, it requires multiple wearable devices and the patient staying overnight to collect the findings,...

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Bibliographic Details
Main Authors: Roksana Akter Raisa, Ayesha Siddika Rodela, Mohammad Abu Yousuf, Akm Azad, Salem A. Alyami, Pietro Lio, Md Zahidul Islam, Ganna Pogrebna, Mohammad Ali Moni
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sleep apnea
electrocardiogram (ECG)
deep learning
machine learning
pulse oximetry
cloud computing
Online Access:https://ieeexplore.ieee.org/document/10595050/
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