TY  - JOUR 
AU  - Vaquerizo-Villar, Fernando
AU  - Gutiérrez-Tobal, Gonzalo C.
AU  - Calvo, Eva
AU  - Álvarez, Daniel
AU  - Kheirandish-Gozal, Leila
AU  - del Campo, Félix
AU  - Gozal, David
AU  - Hornero, Roberto
PY  - 2023
SN  - 0010-4825
UR  - https://uvadoc.uva.es/handle/10324/80304
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  - spa
PB  - Elsevier
KW  - Electroencephalogram (EEG)
KW  - Deep learning
KW  - Explainable artificial intelligence (XAI)
KW  - Gradient-weighted class activation mapping (Grad-CAM)
KW  - Pediatric obstructive sleep apnea (OSA)
KW  - Sleep staging
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  -