An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

Author:

Vaquerizo-Villar FernandoORCID,Gutiérrez-Tobal Gonzalo C.,Calvo EvaORCID,Álvarez DanielORCID,Kheirandish-Gozal Leila,del Campo Félix,Gozal DavidORCID,Hornero RobertoORCID

Funder

Sociedad Española de Neumología y Cirugía Torácica

Universidad de Valladolid

Centro de Investigación Biomédica en Red Bioingeniería Biomateriales y Nanomedicina

Sociedad Española Del Sueño

Espana Ministerio de Ciencia e Innovacion

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference63 articles.

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2. The AASM manual for the scoring of sleep and associated events;Berry;Am. Acad. Sleep Med.,2018

3. Automated sleep scoring: a review of the latest approaches;Fiorillo;Sleep Med. Rev.,2019

4. Automatic sleep stage classification with deep residual networks in a mixed-cohort setting;Olesen;Sleep,2021

5. Resilient high-frequency sleep staging;Perslev;Npj Digit. Med.,2021

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