Gonzalo C. Gutiérrez-Tobal
Orcid: 0000-0002-1237-3424
According to our database1,
Gonzalo C. Gutiérrez-Tobal
authored at least 42 papers
between 2012 and 2024.
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Bibliography
2024
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals.
Biomed. Signal Process. Control., January, 2024
2023
ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis.
Comput. Biol. Medicine, December, 2023
An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea.
Comput. Biol. Medicine, October, 2023
Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability.
Comput. Biol. Medicine, March, 2023
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.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Characterization of Cardiopulmonary Coupling in Pediatric Patients with Obstructive Sleep Apnea.
Proceedings of the Computing in Cardiology, 2023
2022
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry.
Comput. Biol. Medicine, 2022
Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2021
Sensors, 2021
Erratum: Martín-Montero et al. Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea. Entropy 2021, 23, 1016.
Entropy, 2021
Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea.
Entropy, 2021
Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis.
Comput. Biol. Medicine, 2021
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults.
Appl. Soft Comput., 2021
Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost.
Entropy, 2020
Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach.
Entropy, 2020
Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis.
Comput. Methods Programs Biomed., 2020
Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings.
IEEE J. Biomed. Health Informatics, 2019
Influence of Chronic Obstructive Pulmonary Disease and Moderate-To-Severe Sleep Apnoea in Overnight Cardiac Autonomic Modulation: Time, Frequency and Non-Linear Analyses.
Entropy, 2019
Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer's Disease and Mild Cognitive Impairment.
Entropy, 2018
Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings.
Comput. Methods Programs Biomed., 2018
Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home.
Entropy, 2017
Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome.
Entropy, 2017
Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Utility of AdaBoost to Detect Sleep Apnea-Hypopnea Syndrome From Single-Channel Airflow.
IEEE Trans. Biomed. Eng., 2016
2015
Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women.
Entropy, 2015
Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home.
Biomed. Signal Process. Control., 2015
Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Pattern recognition in airflow recordings to assist in the sleep apnoea-hypopnoea syndrome diagnosis.
Medical Biol. Eng. Comput., 2013
Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012