An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals-Reference-Cited by-同舟云学术

An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals

Published:2024-01 Issue: Volume:87 Page:105490
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Jiménez-García Jorge^ORCID,García María,Gutiérrez-Tobal Gonzalo C.^ORCID,Kheirandish-Gozal Leila,Vaquerizo-Villar Fernando^ORCID,Álvarez Daniel^ORCID,del Campo Félix,Gozal David,Hornero Roberto^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

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