Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography

Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography

BackgroundThe capacity to diagnose obstructive sleep apnoea (OSA) must be expanded to meet an estimated disease burden of nearly one billion people worldwide. Validated alternatives to the gold standard polysomnography (PSG) will improve access to testing and treatment. This study aimed to evaluate...

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Bibliographic Details
Main Authors: Julia L. Kelly, Raoua Ben Messaoud, Marie Joyeux-Faure, Robin Terrail, Renaud Tamisier, Jean-Benoît Martinot, Nhat-Nam Le-Dong, Mary J. Morrell, Jean-Louis Pépin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroscience
Subjects:
sleep apnoea
polysomnography
mandibular monitor
in-home diagnosis
one-night agreement
performance
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.726880/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.726880/full

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