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VAQUERIZO VILLAR, FERNANDO

INVESTIGADOR JOVEN
Grupo de Ingeniería Biomédica
 

Índice H en Scopus: 14
 

[][com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=86969]], camposKey:1680-0737 2024-01-01 Accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry3847, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=79346]], camposKey:1746-8094 2024-01-01 An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals1054900, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=80299]], camposKey:0010-4825 2023-10-01 An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=79190]], camposKey:1828-0447 2023-09-01 Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study17971806, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=81500]], camposKey:2694-0604 2023-07-01 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 apnea14, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=72702]], camposKey:0161-8105 2022-02-14 Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=72703]], camposKey:0010-4825 2022-01-01 A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=66579]], camposKey:0161-8105 2021-05-01 Heart rate variability during wakefulness as a marker of obstructive sleep apnea severity00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=58383]], camposKey:2168-2194 2021-01-01 A convolutional neural network architecture to enhance oximetry ability to diagnose pediatric obstructive sleep apnea29062916, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=66360]], camposKey:1557-170X 2021-01-01 Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks216219, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=58382]], camposKey:0010-4825 2021-01-01 Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=63215]], camposKey:1568-4946 2021-01-01 Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=63228]], camposKey:1424-8220 2021-01-01 Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children119, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=58384]], camposKey:1534-4320 2020-12-01 EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces27732782, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=53631]], camposKey:2045-2322 2020-01-01 A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=63212]], camposKey:1099-4300 2020-01-01 Assessment of nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach117, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=57013]], camposKey:1094-687X 2020-01-01 Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks633636, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=65333]], camposKey:1557-170X 2020-01-01 Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks633636, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=57010]], camposKey:1094-687X 2020-01-01 Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects34733476, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=65130]], camposKey:1557-170X 2020-01-01 Intraindividual Characterization of the Sleep Spindle Variability in Healthy Subjects34733476, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=47837]], camposKey:0169-2607 2020-01-01 Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis1050830, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=77884]], camposKey:2694-0604 2019-07-01 Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry35553558, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=72710]], camposKey:1557-170X 2019-01-01 Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry35553558, 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com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=41281]], camposKey:0967-3334 2018-01-01 Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea-hypopnoea syndrome diagnosis00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=42276]], camposKey:1557-170X 2018-01-01 Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost167170, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=42281]], camposKey:1680-0737 2018-01-01 Pulse rate variability analysis to enhance oximetry as at-home alternative for sleep apnea diagnosing213217, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=41282]], camposKey:0967-3334 2018-01-01 Symbolic dynamics to enhance diagnostic ability of portable oximetry from the Phone Oximeter in the detection of paediatric sleep apnoea00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=42278]], camposKey:0169-2607 2018-01-01 Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings141149, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=42450]], camposKey:1932-6203 2018-01-01 Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=11148]], camposKey:1557-170X 2017-01-01 A Bayesian neural network approach to compare the spectral information from nasal pressure and thermistor airflow in the automatic sleep apnea severity estimation37413744, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=42845]], camposKey:0903-1936 2017-01-01 Automated detection of childhood sleep apnea using discrete wavelet transform of nocturnal oximetry and anthropometric variables00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=11147]], camposKey:1557-170X 2017-01-01 Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's disease422425, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=3449]], camposKey:1099-4300 2017-01-01 Irregularity and variability analysis of airflow recordings to facilitate the diagnosis of paediatric sleep apnoea-hypopnoea syndrome00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=3452]], camposKey:1099-4300 2017-01-01 Multiscale entropy analysis of unattended oximetric recordings to assist in the screening of paediatric sleep apnoea at home00, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=11145]], camposKey:1073-449X 2017-01-01 Nocturnal oximetry-based evaluation of habitually snoring children15911598, com.sigma.fs3.argos.domain.gpc.GpcArticlesRev[id=com.sigma.fs3.argos.domain.gpc.GpcArticlesRevPK[ifcactivitat=ARE, ifccomptador=11149]], camposKey:1557-170X 2017-01-01 Usefulness of discrete wavelet transform in the analysis of oximetry signals to assist in childhood sleep apnea-hypopnea syndrome diagnosis37533756][CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=30350]},camposKey: 108 113 A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals 16654428082022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON). 1 2022-01-01 -, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=17401]},camposKey: 3555 3558 Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry 978-1-5386-1311-541st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019) 1 2019-01-01 IEEE, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=17402]},camposKey: 4580 4583 Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis 978-1-5386-1311-541st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019) 1 2019-01-01 IEEE, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=15186]},camposKey: 213 217 Pulse rate variability analysis to enhance oximetry as at-home alternative for sleep apnea diagnosing 978-981-10-9037-0World Congress on Medical Physics and Biomedical Engineering 2018 1 2018-01-01 Springer, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=15179]},camposKey: 202 205 Análisis de la señal de oximetría mediante la densidad espectral de potencia y bispectrum en la ayuda al diagnóstico de la apnea infantil 978-84-9048-531-6XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016), Sociedad Española de Ingeniería Biomédica (SEIB) 1 2016-01-01 Editorial Universitat Politècnica de València, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=15180]},camposKey: 228 231 Análisis espectral de la señal de flujo aéreo como ayuda al diagnóstico del 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Artículos de revista (39)

Vaquerizo-Villar F.; Alvarez D.; Gutierrez-Tobal G.C.; Martin-Montero A.; Gozal D.; Tamayo E.; Hornero R. Accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry . XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019 2024; 112: 38-47

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García Gadañón, M; Gómez Peña, C; Poza Crespo, J; Hornero Sánchez, R; Álvarez González, D; Gutiérrez-Tobal, G. C; Gomez-Pilar, J; Vaquerizo Villar, F; Núñez Novo, P. Libro de Actas de la "I Jornada para Alumnos de Trabajo Fin de Grado y Trabajo Fin de Máster: Uso Efectivo de Herramientas TIC". Universidad de Valladolid; 2019
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Capítulos de libros (8)

Vaquerizo-Villar F.; Alvarez D.; Gutierrez-Tobal G.C.; Campo F.D.; Kheirandish-Gozal L.; Gozal D.; Penzel T.; Hornero R. A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals . En: -. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).. -; 2022. p. 108-113

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Proyectos (6)

DEFINICIÓN DE FENOTIPOS EN LA APNEA DEL SUEÑO MEDIANTE APRENDIZAJE PROFUNDO MULTITAREA E INTELIGENCIA ARTIFICIAL EXPLICABLE. Equipo Investigadores: GUTIERREZ TOBAL, GONZALO CESAR (IP); HORNERO SANCHEZ, ROBERTO (IP); ALVAREZ GONZALEZ, DANIEL; GOMEZ GIL, JAIME; FRUTOS ARRIBAS, JULIO FERNANDO DE; RUIZ ALBI, TOMAS; GOMEZ PILAR, JAVIER; MARTINEZ CAGIGAL, VICTOR; CANO DEL POZO, MONICA; ARROYO DOMINGO, CARMEN AINHOA. Equipo de Trabajo: CAMPO MATIA, FELIX DEL; GURDIEL GONZALEZ, ENRIQUE; VAQUERIZO VILLAR, FERNANDO; GOZAL -, DAVID; PENZEL ,, THOMAS; MARCOS MARTINEZ, DIEGO; HERRERO TUDELA, MARIA; GARCIA VICENTE, CLARA; PEREIRA -, PEDRO; SEEPOLD -, RALF; LEPPÄNEN -, TIMO. PID2023-148895OB-I00. Entidades Participantes: UNIVERSIDAD DE VALLADOLID (UVa). Entidades Financiadoras: AGENCIA ESTATAL DE INVESTIGACIÓN, FONDOS FEDER, 10.13039/501100011033, MINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES, UNION EUROPEA. 01/09/2024-31/08/2027

FEDERMº Ciencia, Innovación y UniversidadesUnión EuropeaAEI
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CONTRATO PREDOCTORAL FPU DE FERNANDO VAQUERIZO VILLAR: PROCESADO AUTOMÁTICO DE LA SEÑAL DE OXIMETRÍA EN LA AYUDA AL DIAGNÓSTICO DEL SÍNDROME DE LA APNEA HIPOPNEA DEL SUEÑO EN NIÑOS.. HORNERO SANCHEZ, ROBERTO (Director). VAQUERIZO VILLAR, FERNANDO (Beneficiario). 01/10/2017 - 24/07/2021. 78.468,92 EUR.

Ministerio de Educación, Cultura y Deporte
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Congresos (18)

IFMBE Proceedings, Portoro¿ 09/06/2024 - 13/06/2024
(Ponencia). Vaquerizo-Villar F.; Alvarez D.; Gutierrez-Tobal G.C.; Martin-Montero A.; Gozal D.; Tamayo E.; Hornero R. Accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry
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Premios (1)

Adrián Martín-Montero, Gonzalo C. Gutiérrez-Tobal, Jesús Poza, Daniel Álvarez, Fernando Vaquerizo-Villar, Verónica Barroso-García, Saúl J. Ruiz-Gómez, Leila Kheirandish-Gozal, Félix del Campo, David Gozal, y Roberto Hornero. Caracterización de la apnea del sueño infantil mediante nuevas bandas espectrales del EEG. Primer premio de la Competición de Estudiantes Investigadores ("Premio José María Ferrero Corral") celebrada durante el XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2018) por el trabajo "Caracterización de la apnea del sueño infantil mediante nuevas bandas espectrales del EEG". Sociedad Española de Ingeniería Biomédica. 2018

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Estancias de investigación (1)

ESTANCIA DE INVESTIGACIÓN EN SLEEP MEDICINE CENTER.- CHARITE - UNIVERSITATSMEDIZIN BERLÍN. 01/05/2019 - 31/07/2019
     CHARITE-UNIVERSITATSMEDIZIN. ( ALEMANIA )


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Proyectos de innovación docente (3)

Entornos virtuales cooperativos y actividades formativas específicas para la mejora de la tutorización de Trabajos Fin de Grado y Trabajos Fin de Máster - PID2019/52. Universidad de Valladolid. 01/09/2019.
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