Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls

INTRODUCTION: Visual sleep scoring has several shortcomings, including inter-scorer inconsistency, which may adversely affect diagnostic decision-making. Although automatic sleep staging in adults has been extensively studied, it is uncertain whether such sophisticated algorithms generalize well to...

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Detalles Bibliográficos
Autores principales: Somaskandhan, Pranavan, Leppänen, Timo, Terrill, Philip I., Sigurdardottir, Sigridur, Arnardottir, Erna Sif, Ólafsdóttir, Kristín A., Serwatko, Marta, Sigurðardóttir, Sigurveig Þ., Clausen, Michael, Töyräs, Juha, Korkalainen, Henri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140398/
https://www.ncbi.nlm.nih.gov/pubmed/37122306
http://dx.doi.org/10.3389/fneur.2023.1162998

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140398/
https://www.ncbi.nlm.nih.gov/pubmed/37122306
http://dx.doi.org/10.3389/fneur.2023.1162998

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