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Fernando Vaquerizo-Villar

Showing results (1-10 of 46) with videos related to

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Bioengineering (Basel, Switzerland)|July 29, 2025
Special Issue: "Artificial Intelligence for Biomedical Signal Processing"Fernando Vaquerizo-Villar, Verónica Barroso-García
Scientific Reports|February 21, 2025
Sleep irregularity is associated with night-time technology, dysfunctional sleep beliefs and subjective sleep parameters amongst female university studentsTeresa Arora, Fernando Vaquerizo-Villar, Roberto Hornero, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 30, 2020
EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer InterfacesEduardo Santamaria-Vazquez, Victor Martinez-Cagigal, Fernando Vaquerizo-Villar, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
ECG and Heart Rate Variability in Sleep-Related Breathing DisordersHua Qin, Fernando Vaquerizo-Villar, Nicolas Steenbergen, et al.
Frontiers in Psychiatry|August 9, 2021
The Different Facets of Heart Rate Variability in Obstructive Sleep ApneaHua Qin, Nicolas Steenbergen, Martin Glos, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Oximetry Indices in the Management of Sleep Apnea: From Overnight Minimum Saturation to the Novel Hypoxemia MeasuresDaniel Álvarez, Gonzalo C Gutiérrez-Tobal, Fernando Vaquerizo-Villar, et al.
Sleep|April 2, 2026
Using Neural Networks to Complement Oximetry in Infant Obstructive Sleep Apnea: Working on Baby StepsFernando Vaquerizo-Villar, Roberto Hornero, David Gozal, et al.
Engineering Applications of Artificial Intelligence|June 17, 2026
An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signalsFernando Vaquerizo-Villar, Gonzalo C Gutiérrez-Tobal, Daniel Álvarez, et al.
Scientific Reports|May 21, 2025
Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)Adrián Martín-Montero, Fernando Vaquerizo-Villar, Clara García-Vicente, et al.
Measurement : Journal of the International Measurement Confederation|July 9, 2026
Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO<sub>2</sub>Clara García-Vicente, Gonzalo C Gutiérrez-Tobal, Fernando Vaquerizo-Villar, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Bioengineering (Basel, Switzerland)|July 29, 2025
Special Issue: "Artificial Intelligence for Biomedical Signal Processing"Fernando Vaquerizo-Villar, Verónica Barroso-García
Scientific Reports|February 21, 2025
Sleep irregularity is associated with night-time technology, dysfunctional sleep beliefs and subjective sleep parameters amongst female university studentsTeresa Arora, Fernando Vaquerizo-Villar, Roberto Hornero, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 30, 2020
EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer InterfacesEduardo Santamaria-Vazquez, Victor Martinez-Cagigal, Fernando Vaquerizo-Villar, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
ECG and Heart Rate Variability in Sleep-Related Breathing DisordersHua Qin, Fernando Vaquerizo-Villar, Nicolas Steenbergen, et al.
Frontiers in Psychiatry|August 9, 2021
The Different Facets of Heart Rate Variability in Obstructive Sleep ApneaHua Qin, Nicolas Steenbergen, Martin Glos, et al.
Advances in Experimental Medicine and Biology|October 10, 2022
Oximetry Indices in the Management of Sleep Apnea: From Overnight Minimum Saturation to the Novel Hypoxemia MeasuresDaniel Álvarez, Gonzalo C Gutiérrez-Tobal, Fernando Vaquerizo-Villar, et al.
Sleep|April 2, 2026
Using Neural Networks to Complement Oximetry in Infant Obstructive Sleep Apnea: Working on Baby StepsFernando Vaquerizo-Villar, Roberto Hornero, David Gozal, et al.
Engineering Applications of Artificial Intelligence|June 17, 2026
An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signalsFernando Vaquerizo-Villar, Gonzalo C Gutiérrez-Tobal, Daniel Álvarez, et al.
Scientific Reports|May 21, 2025
Heart rate variability analysis in comorbid insomnia and sleep apnea (COMISA)Adrián Martín-Montero, Fernando Vaquerizo-Villar, Clara García-Vicente, et al.
Measurement : Journal of the International Measurement Confederation|July 9, 2026
Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO<sub>2</sub>Clara García-Vicente, Gonzalo C Gutiérrez-Tobal, Fernando Vaquerizo-Villar, et al.
Pageof 5