Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea Events

Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea Events

Obstructive Sleep Apnea (OSA) is a prevalent condition that disrupts sleep quality and contributes to significant health risks, necessitating accurate and efficient diagnostic methods. This study introduces a machine learning-based framework aimed at detecting apnea events through analysis of polyso...

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Bibliographic Details
Main Authors: Kristina Zovko, Yann Sadowski, Toni Perković, Petar Šolić, Ivana Pavlinac Dodig, Renata Pecotić, Zoran Đogaš
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Obstructive Sleep Apnea (OSA)
machine learning
Long Short-Term Memory (LSTM)
apnea detection
eHealth
sleep medicine
Online Access:https://www.mdpi.com/2076-3417/15/1/376
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