The following publications are possibly variants of this publication:
- Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosisVerónica Barroso-García, Gonzalo C. Gutiérrez-Tobal, Leila Kheirandish-Gozal, Fernando Vaquerizo-Villar, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero. cbm, 129:104167, 2021. [doi]
- Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in childrenGonzalo C. Gutiérrez-Tobal, Leila Kheirandish-Gozal, Daniel Álvarez, Andrea Crespo, Mona F. Philby, Meelad Mohammadi, Félix del Campo, David Gozal, Roberto Hornero. embc 2015: 4540-4543 [doi]
- Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' homeGonzalo C. Gutiérrez-Tobal, M. Luz Alonso-Álvarez, Daniel Álvarez, Félix del Campo, Joaquín Terán-Santos, Roberto Hornero. bspc, 18:401-407, 2015. [doi]
- A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetryJorge Jiménez-García, María García, Gonzalo C. Gutiérrez-Tobal, Leila Kheirandish-Gozal, Fernando Vaquerizo-Villar, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero. cbm, 147:105784, 2022. [doi]
- An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signalsJorge Jiménez-García, María García, Gonzalo C. Gutiérrez-Tobal, Leila Kheirandish-Gozal, Fernando Vaquerizo-Villar, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero. bspc, 87(Part B):105490, January 2024. [doi]