TY  - JOUR 
AU  - Jiménez García, Jorge
AU  - García Gadañón, María
AU  - Gutiérrez Tobal, Gonzalo César
AU  - Kheirandish Gozal, Leila
AU  - Vaquerizo Villar, Fernando
AU  - Álvarez González, Daniel
AU  - Campo Matias, Félix del
AU  - Gozal, David
AU  - Hornero Sánchez, Roberto
PY  - 2024
SN  - 1746-8094
UR  - https://uvadoc.uva.es/handle/10324/62524
AB  - Deep-learning algorithms have been proposed to analyze overnight airflow (AF) and oximetry (SpO2) signals to simplify the diagnosis of pediatric obstructive sleep apnea (OSA), but current algorithms are hardly interpretable. Explainable artificial...
LA  - eng
PB  - Elsevier
KW  - Pediatría
KW  - Biomedical engineering
KW  - Obstructive sleep apnea
KW  - Children
KW  - Airflow
KW  - Apnea obstructiva del sueño
KW  - Niños
KW  - Flujo de aire
TI  - An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
DO  - 10.1016/j.bspc.2023.105490
ER  -