Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea

Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) represents a significant health concern. While polysomnography (PSG) remains the gold standard, its resource-intensive nature has encouraged the exploration of further alternative approaches. Most of these were based on the heart rate variability (HRV) analysis, but onl...

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Bibliographic Details
Main Authors: Daniele Padovano, Arturo Martinez-Rodrigo, José M. Pastor, José J. Rieta, Raul Alcaraz
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
sleep apnea
heart rate variability
recurrence
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/1/433
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