F. Vaquerizo-Villar

发表

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.

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.

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).

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.

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 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.

Automated detection of childhood sleep apnea using discrete wavelet transform of nocturnal oximetry and anthropometric variables

G. C. Gutiérrez-Tobal, L. Kheirandish-Gozal, D. Gozal, 2017 .

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.

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.

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).

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).

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).

Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's disease

Roberto Hornero, Carlos Gómez, Jesús Poza, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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).

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..

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.

Heart Rate Variability during Wakefulness as a Marker of Obstructive Sleep Apnea Severity.

A. Pack, T. Gislason, T. Penzel, 2021, Sleep.

The Different Facets of Heart Rate Variability in Obstructive Sleep Apnea

T. Penzel, N. Wessel, M. Glos, 2021, Frontiers in Psychiatry.

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).

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.

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.

EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces

R. Hornero, F. Vaquerizo-Villar, Víctor Martínez-Cagigal, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

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

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.

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).

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..

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..

Abstract. Sleep staging is of paramount importance in children with suspicion of pediatric obstructive sleep apnea

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

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

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

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.

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).