TY  - JOUR 
AU  - Barroso-García, Verónica
AU  - Vaquerizo-Villar, Fernando
AU  - Gutiérrez-Tobal, Gonzalo C.
AU  - Dayyat, Ehab
AU  - Gozal, David
AU  - Leppänen, Timo
AU  - Hornero, Roberto
PY  - 2025
SN  - 2168-2372
UR  - https://uvadoc.uva.es/handle/10324/80306
AB  - Objective: Approaches based on a single-channel airflow has shown great potential for simplifying pediatric obstructive sleep apnea (OSA) diagnosis. However, analysis has been limited to feature-engineering techniques, restricting identification of...
LA  - spa
PB  - IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC
KW  - Airflow
KW  - children
KW  - convolutional neural network (CNN)
KW  - deep-learning (DL)
KW  - explainable artificial intelligence (XAI)
KW  - obstructive sleep apnea (OSA)
TI  - An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow
DO  - 10.1109/JTEHM.2025.3625388
ER  -