An Explainable Fusion of ECG and SpO<sub>2</sub>-Based Models for Real-Time Sleep Apnea Detection

An Explainable Fusion of ECG and SpO<sub>2</sub>-Based Models for Real-Time Sleep Apnea Detection

Obstructive sleep apnea (OSA) is a common disorder characterized by disrupted breathing during sleep, leading to serious health consequences such as daytime fatigue, hypertension, metabolic issues, and cardiovascular disease. Polysomnography (PSG) is the standard diagnostic method but is costly and...

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Bibliographic Details
Main Authors: Tanmoy Paul, Omiya Hassan, Christina S. McCrae, Syed Kamrul Islam, Abu Saleh Mohammad Mosa
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Bioengineering
Subjects:
apnea
explainable AI
Grad-CAM
model fusion
Online Access:https://www.mdpi.com/2306-5354/12/4/382
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