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David Gozal
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2020 – today
- 2024
- [j16]Jorge Jiménez-García
, María García, Gonzalo C. Gutiérrez-Tobal
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals. Biomed. Signal Process. Control. 87(Part B): 105490 (2024) - 2023
- [j15]Adrián Martín-Montero
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability. Comput. Biol. Medicine 154: 106549 (2023) - [j14]Fernando Vaquerizo-Villar
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea. Comput. Biol. Medicine 165: 107419 (2023) - [j13]Clara García-Vicente
ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis. Comput. Biol. Medicine 167: 107628 (2023) - [c12]Pablo Armañac-Julián, Adrián Martín-Montero, Salla Hietakoste, Jesús Lázaro, Samu Kainulainen
Characterization of Cardiopulmonary Coupling in Pediatric Patients with Obstructive Sleep Apnea. CinC 2023: 1-4 - [c11]Fernando Vaquerizo-Villar, Daniel Álvarez, Gonzalo C. Gutiérrez-Tobal, Félix del Campo, David Gozal, Leila Kheirandish-Gozal, Thomas Penzel
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. EMBC 2023: 1-4 - 2022
- [j12]Jorge Jiménez-García
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry. Comput. Biol. Medicine 147: 105784 (2022) - [c10]Gonzalo C. Gutiérrez-Tobal, Javier Gomez-Pilar, Leila Kheirandish-Gozal, Adrián Martín-Montero, Jesús Poza, Daniel Álvarez, Félix del Campo, David Gozal, Roberto Hornero:
Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments. EMBC 2022: 2957-2960 - 2021
- [j11]Gonzalo C. Gutiérrez-Tobal
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults. Appl. Soft Comput. 111: 107827 (2021) - [j10]Verónica Barroso-García
Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis. Comput. Biol. Medicine 129: 104167 (2021) - [j9]Adrián Martín-Montero
Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 23(8): 1016 (2021) - [j8]Adrián Martín-Montero
Erratum: Martín-Montero et al. Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 2021, 23, 1016. Entropy 23(11): 1375 (2021) - [j7]Verónica Barroso-García
Wavelet Analysis of Overnight Airflow to Detect Obstructive Sleep Apnea in Children. Sensors 21(4): 1491 (2021) - [j6]Akira Umeda
Recent Insights into the Measurement of Carbon Dioxide Concentrations for Clinical Practice in Respiratory Medicine. Sensors 21(16): 5636 (2021) - [j5]Fernando Vaquerizo-Villar
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea. IEEE J. Biomed. Health Informatics 25(8): 2906-2916 (2021) - [c9]Fernando Vaquerizo-Villar, Daniel Álvarez, Jan F. Kraemer
Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks. EMBC 2021: 216-219 - 2020
- [j4]Verónica Barroso-García
Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis. Comput. Methods Programs Biomed. 183 (2020) - [j3]Jorge Jiménez-García
Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost. Entropy 22(6): 670 (2020) - [c8]Fernando Vaquerizo-Villar
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks. EMBC 2020: 633-636
2010 – 2019
- 2019
- [c7]Fernando Vaquerizo-Villar
Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry. EMBC 2019: 3555-3558 - [c6]Verónica Barroso-García
Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis. EMBC 2019: 4580-4583 - 2018
- [j2]Fernando Vaquerizo-Villar
Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings. Comput. Methods Programs Biomed. 156: 141-149 (2018) - [c5]Fernando Vaquerizo-Villar
Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost. EMBC 2018: 167-170 - [c4]Gonzalo C. Gutiérrez-Tobal
Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis. EMBC 2018: 175-178 - 2017
- [j1]Verónica Barroso-García
Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome. Entropy 19(9): 447 (2017) - [c3]Fernando Vaquerizo-Villar
Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis. EMBC 2017: 3753-3756 - 2015
- [c2]Daniel Álvarez
Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome. EMBC 2015: 2800-2803 - [c1]Gonzalo C. Gutiérrez-Tobal
Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children. EMBC 2015: 4540-4543
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