TY  - JOUR 
AU  - Vaquerizo Villar, Fernando
AU  - Gutiérrez Tobal, Gonzalo César
AU  - Calvo, Eva
AU  - Álvarez, Daniel
AU  - Kheirandish Gozal, Leila
AU  - Campo Matias, Félix del
AU  - Hornero Sánchez, Roberto
PY  - 2023
SN  - 0010-4825
UR  - https://uvadoc.uva.es/handle/10324/61507
AB  - Automatic deep-learning models used for sleep scoring in children with obstructive sleep apnea (OSA) are perceived as black boxes, limiting their implementation in clinical settings. Accordingly, we aimed to develop an accurate and interpretable...
LA  - eng
PB  - Elsevier
KW  - Sueño, trastornos del
KW  - Pediatría
KW  - Deep learning
KW  - Electroencephalogram (EEG)
KW  - Pediatric obstructive sleep apnea (OSA)
KW  - Aprendizaje profundo
KW  - Electroencefalograma (EEG)
KW  - Apnea obstructiva del sueño pediátrica (AOS)
TI  - An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
DO  - 10.1016/j.compbiomed.2023.107419
ER  -