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An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea.

, , , , , , , and . Comput. Biol. Medicine, (October 2023)

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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)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)Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome., , , , , , , , and . Entropy, 19 (9): 447 (2017)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)Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis., , , , , , , , and . EMBC, page 175-178. IEEE, (2018)Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks., , , , , , , , and . EMBC, page 633-636. IEEE, (2020)Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis., , , , , , , and . Comput. Biol. Medicine, (2021)Recent Insights into the Measurement of Carbon Dioxide Concentrations for Clinical Practice in Respiratory Medicine., , , , , , , , , and . Sensors, 21 (16): 5636 (2021)