Fernando Vaquerizo-Villar
Orcid: 0000-0002-5898-2006
According to our database1,
Fernando Vaquerizo-Villar
authored at least 24 papers
between 2017 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
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
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
2022
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry.
Comput. Biol. Medicine, 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
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 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
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
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
Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's disease.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017