G. Gutiérrez-Tobal

发表

Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks

T. Penzel, L. Kheirandish-Gozal, D. Gozal, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals

T. Penzel, L. Kheirandish-Gozal, D. Gozal, 2022, 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).

Editorial: Unraveling Sleep and Its Disorders Using Novel Analytical Approaches

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2022, Frontiers in Neuroscience.

Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability

P. Laguna, E. Gil, R. Bailón, 2023, Comput. Biol. Medicine.

Spectral and temporal characterization of sleep spindles—methodological implications

J. Doyon, R. Hornero, J. Poza, 2021, Journal of neural engineering.

Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects

J. Gomez-Pilar, J. Poza, R. Hornero, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Pattern recognition in airflow recordings to assist in the sleep apnoea–hypopnoea syndrome diagnosis

Roberto Hornero, J. Víctor Marcos, Daniel Álvarez, 2013, Medical & Biological Engineering & Computing.

Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta‐analysis

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2021, Pediatric pulmonology.

Pediatric Sleep Apnea: The Overnight Electroencephalogram as a Phenotypic Biomarker

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2021, Frontiers in Neuroscience.

Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated Screening of Children With Obstructive Sleep Apnea Using Nocturnal Oximetry: An Alternative to Respiratory Polygraphy in Unattended Settings.

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2017, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer’s Disease and Mild Cognitive Impairment

Roberto Hornero, Carlos Gómez, Jesús Poza, 2018, Entropy.

A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-class adaboost to detect Sleep Apnea-Hypopnea Syndrome severity from oximetry recordings obtained at home

R. Hornero, F. Vaquerizo-Villar, D. Alvarez, 2016, 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE).

Utility of AdaBoost to Detect Sleep Apnea-Hypopnea Syndrome From Single-Channel Airflow

Roberto Hornero, Félix del Campo, Gonzalo C. Gutiérrez-Tobal, 2016, IEEE Transactions on Biomedical Engineering.

AdaBoost Classification to Detect Sleep Apnea from Airflow Recordings

Javier Gomez-Pilar, Roberto Hornero, Daniel Álvarez, 2014 .

Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis

Javier Gomez-Pilar, Roberto Hornero, Daniel Álvarez, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis

J. Victor Marcos, G. C. Gutiérrez-Tobal, R. Hornero, 2012, Physiological measurement.

Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2021, Appl. Soft Comput..

Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings

Daniel Álvarez, Roberto Hornero, Gonzalo C. Gutiérrez-Tobal, 2019, IEEE Journal of Biomedical and Health Informatics.

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

R. Hornero, D. Álvarez, F. del Campo, 2020, Scientific Reports.

Bispectral Analysis of Heart Rate Variability to Characterize and Help Diagnose Pediatric Sleep Apnea

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2021, Entropy.

Heart rate variability spectrum characteristics in children with sleep apnea

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2020, Pediatric Research.

Regularity analysis of nocturnal oximetry recordings to assist in the diagnosis of sleep apnoea syndrome.

J. Victor Marcos, G. C. Gutiérrez-Tobal, I. Nabney, 2016, Medical engineering & physics.

Study of the Adherence to continuous positive airway pressure Treatment in Patients with Obstructive Sleep Apnea Syndrome in the Confinement During the COVID-19 Pandemic.

R. Hornero, D. Álvarez, F. del Campo, 2020, Archivos de bronconeumologia.

A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2022, Comput. Biol. Medicine.

A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2021, IEEE Journal of Biomedical and Health Informatics.

Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks

Roberto Hornero, Daniel Álvarez, Fernando Vaquerizo-Villar, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2019, IFMBE Proceedings.

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Symbolic dynamics to enhance diagnostic ability of portable oximetry from the Phone Oximeter in the detection of paediatric sleep apnoea

G. C. Gutiérrez-Tobal, G. Dumont, R. Hornero, 2018, Physiological measurement.

Oximetry use in obstructive sleep apnea

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2018, Expert review of respiratory medicine.

Nocturnal Oximetry‐based Evaluation of Habitually Snoring Children

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2017, American journal of respiratory and critical care medicine.

Multiscale Entropy Analysis of Unattended Oximetric Recordings to Assist in the Screening of Paediatric Sleep Apnoea at Home

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2017, Entropy.

Automated analysis of unattended portable oximetry by means of Bayesian neural networks to assist in the diagnosis of sleep apnea

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2016, 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE).

Positive airway pressure and electrical stimulation methods for obstructive sleep apnea treatment: a patent review (2005 – 2014)

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2015, Expert opinion on therapeutic patents.

Diagnosis of pediatric obstructive sleep apnea: Preliminary findings using automatic analysis of airflow and oximetry recordings obtained at patients' home

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2015, Biomed. Signal Process. Control..

Assessment of Time and Frequency Domain Entropies to Detect Sleep Apnoea in Heart Rate Variability Recordings from Men and Women

Javier Gomez-Pilar, Roberto Hornero, Daniel Álvarez, 2015, Entropy.

Exploring the spectral information of airflow recordings to help in pediatric Obstructive Sleep Apnea-Hypopnea Syndrome diagnosis

Roberto Hornero, Félix del Campo, María Luz Alonso Álvarez, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification Methods from Heart Rate Variability to Assist in SAHS Diagnosis

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2014 .

Assessment of automated analysis of portable oximetry as a screening test for moderate-to-severe sleep apnea in patients with chronic obstructive pulmonary disease

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2017, PloS one.

Heart Rate Variability as a Potential Biomarker of Pediatric Obstructive Sleep Apnea Resolution.

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2021, Sleep.

Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome

Roberto Hornero, Daniel Álvarez, Fernando Vaquerizo-Villar, 2018, PloS one.

Irregularity and Variability Analysis of Airflow Recordings to Facilitate the Diagnosis of Paediatric Sleep Apnoea-Hypopnoea Syndrome

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2017, Entropy.

Assessment of oximetry-based statistical classifiers as simplified screening tools in the management of childhood obstructive sleep apnea

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2018, Sleep and Breathing.

Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea.

R. Hornero, D. Álvarez, J. Gómez-Pilar, 2022, Advances in experimental medicine and biology.

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2020, Comput. Biol. Medicine.

Assessment of Airflow and Oximetry Signals to Detect Pediatric Sleep Apnea-Hypopnea Syndrome Using AdaBoost

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2020, Entropy.

Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Influence of Chronic Obstructive Pulmonary Disease and Moderate-To-Severe Sleep Apnoea in Overnight Cardiac Autonomic Modulation: Time, Frequency and Non-Linear Analyses

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2019, Entropy.

Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis

Roberto Hornero, Daniel Álvarez, Fernando Vaquerizo-Villar, 2018, Physiological measurement.

Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Pulse Rate Variability Analysis to Enhance Oximetry as at-Home Alternative for Sleep Apnea Diagnosing

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2018, IFMBE Proceedings.

Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2018, Comput. Methods Programs Biomed..

Automated analysis of nocturnal oximetry as screening tool for childhood obstructive sleep apnea-hypopnea syndrome

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis and classification of oximetry recordings to predict obstructive sleep apnea severity in children

Roberto Hornero, Félix del Campo, Leila Kheirandish-Gozal, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis

Daniel Álvarez, Roberto Hornero, Fernando Vaquerizo-Villar, 2020, Comput. Methods Programs Biomed..

I. INTRODUCTION The sleep apnea-hypopnea syndrome (SAHS) is a prevalent respiratory disorder that affects up to 4% of pediatric population [1]. Children affected by SAHS suffer from repeated apnea (airflow

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2019 .

Wavelet Analysis of Overnight Airflow to Detect Obstructive Sleep Apnea in Children

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2021, Sensors.

Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Cloud algorithm-driven oximetry-based diagnosis of obstructive sleep apnoea in symptomatic habitually snoring children

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2018, European Respiratory Journal.

Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children

Daniel Álvarez, Roberto Hornero, Félix del Campo, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Study of adherence to continuous positive airway pressure treatment in patients with obstructive sleep apnea syndrome in the confinement during the COVID-19 pandemic

R. Hornero, D. Álvarez, F. del Campo, 2020, Archivos de Bronconeumología (English Edition).

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

G. C. Gutiérrez-Tobal, R. Hornero, D. Álvarez, 2020, Scientific Reports.

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

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2023, Computers in Biology and Medicine.

Oximetry use in obstructive sleep apnea

R. Hornero, D. Álvarez, F. del Campo, 2018, Expert review of respiratory medicine.

Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis

L. Kheirandish-Gozal, D. Gozal, R. Hornero, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Apnea-hypopnea index estimation from spectral analysis of airflow recordings

Daniel Álvarez, Roberto Hornero, J. Víctor Marcos, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.