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An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals., , , , , , , , and . Biomed. Signal Process. Control., 87 (Part B): 105490 (January 2024)Erratum: Martín-Montero et al. Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 2021, 23, 1016., , , , , , , and . Entropy, 23 (11): 1375 (2021)A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea., , , , , , , , and . IEEE J. Biomed. Health Informatics, 25 (8): 2906-2916 (2021)Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome., , , , , , , , and . EMBC, page 2800-2803. IEEE, (2015)Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis., , , , , , , and . Comput. Biol. Medicine, (2021)A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea., , , , , , , and . EMBC, page 1-4. IEEE, (2023)Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost., , , , , , , , and . EMBC, page 167-170. IEEE, (2018)Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults., , , , , , , and . Appl. Soft Comput., (2021)A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry., , , , , , , , and . Comput. Biol. Medicine, (2022)Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome., , , , , , , , and . Entropy, 19 (9): 447 (2017)