Artificial intelligence based platform for the automatic and simultaneous explainable detection of apnoea, oxygen desaturation, and artefacts in paediatric polygraphy exams (REST)

Abstract The gold standard for the diagnosis of sleep apnoea (SA) is polysomnography, consisting of overnight in-lab tests, which are expensive for both patients and healthcare systems. Airflow and pulse/oximetry signals contain most of the necessary information for detecting SA and widely simplify...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Michele D’Orazio, Elisabetta Verrillo, Joanna Filippi, Gianni Antonelli, Giorgia Curci, Matteo Ritrovato, Martino Pavone, Paola Casti, Arianna Mencattini, Renato Cutrera, Eugenio Martinelli
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-09-01
Subjects:	Paediatric sleep scoring Artificial intelligence Artefacts detection Apnoea detection Oxygen desaturation Deep learning
Online Access:	https://doi.org/10.1038/s41598-025-13630-y