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Gonzalo C. Gutiérrez-Tobal
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2020 – today
- 2024
- [j24]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
- [j23]Adrián Martín-Montero
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability. Comput. Biol. Medicine 154: 106549 (2023) - [j22]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) - [j21]Clara García-Vicente
ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis. Comput. Biol. Medicine 167: 107628 (2023) - [c18]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 - [c17]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
- [j20]Jorge Jiménez-García
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry. Comput. Biol. Medicine 147: 105784 (2022) - [c16]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
- [j19]Gonzalo C. Gutiérrez-Tobal
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults. Appl. Soft Comput. 111: 107827 (2021) - [j18]Verónica Barroso-García
Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis. Comput. Biol. Medicine 129: 104167 (2021) - [j17]Adrián Martín-Montero
Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 23(8): 1016 (2021) - [j16]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) - [j15]Verónica Barroso-García
Wavelet Analysis of Overnight Airflow to Detect Obstructive Sleep Apnea in Children. Sensors 21(4): 1491 (2021) - [j14]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) - [c15]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
- [j13]Verónica Barroso-García
Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis. Comput. Methods Programs Biomed. 183 (2020) - [j12]Jorge Jiménez-García
Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost. Entropy 22(6): 670 (2020) - [j11]Daniel Álvarez
Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach. Entropy 22(12): 1404 (2020) - [c14]Fernando Vaquerizo-Villar
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks. EMBC 2020: 633-636 - [c13]Javier Gomez-Pilar, Georg Northoff, Fernando Vaquerizo-Villar
Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects. EMBC 2020: 3473-3476
2010 – 2019
- 2019
- [j10]Daniel Álvarez
Influence of Chronic Obstructive Pulmonary Disease and Moderate-To-Severe Sleep Apnoea in Overnight Cardiac Autonomic Modulation: Time, Frequency and Non-Linear Analyses. Entropy 21(4): 381 (2019) - [j9]Gonzalo C. Gutiérrez-Tobal
Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings. IEEE J. Biomed. Health Informatics 23(2): 882-892 (2019) - [c12]Fernando Vaquerizo-Villar
Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry. EMBC 2019: 3555-3558 - [c11]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
- [j8]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) - [j7]Saúl J. Ruiz-Gómez
Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer's Disease and Mild Cognitive Impairment. Entropy 20(1): 35 (2018) - [c10]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 - [c9]Gonzalo C. Gutiérrez-Tobal
Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis. EMBC 2018: 175-178 - 2017
- [j6]Andrea Crespo, Daniel Álvarez
Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home. Entropy 19(6): 284 (2017) - [j5]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) - [c8]Gonzalo C. Gutiérrez-Tobal
A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation. EMBC 2017: 3741-3744 - [c7]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 - 2016
- [j4]Gonzalo C. Gutiérrez-Tobal
Utility of AdaBoost to Detect Sleep Apnea-Hypopnea Syndrome From Single-Channel Airflow. IEEE Trans. Biomed. Eng. 63(3): 636-646 (2016) - 2015
- [j3]Gonzalo C. Gutiérrez-Tobal
Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home. Biomed. Signal Process. Control. 18: 401-407 (2015) - [j2]Gonzalo C. Gutiérrez-Tobal
Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women. Entropy 17(1): 123-141 (2015) - [c6]Daniel Álvarez
Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome. EMBC 2015: 2800-2803 - [c5]Gonzalo C. Gutiérrez-Tobal
Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children. EMBC 2015: 4540-4543 - 2014
- [c4]Daniel Álvarez
Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children. EMBC 2014: 1860-1863 - [c3]Gonzalo C. Gutiérrez-Tobal
Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis. EMBC 2014: 2298-2301 - 2013
- [j1]Gonzalo C. Gutiérrez-Tobal
Pattern recognition in airflow recordings to assist in the sleep apnoea-hypopnoea syndrome diagnosis. Medical Biol. Eng. Comput. 51(12): 1367-1380 (2013) - [c2]Gonzalo C. Gutiérrez-Tobal
Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis. EMBC 2013: 5021-5024 - 2012
- [c1]Gonzalo C. Gutiérrez-Tobal
Apnea-hypopnea index estimation from spectral analysis of airflow recordings. EMBC 2012: 3444-3447
Coauthor Index
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