Óscar Barquero-Pérez

Orcid: 0000-0002-7235-3986

According to our database1, Óscar Barquero-Pérez authored at least 41 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Modeling Gender Differences in Heart Rate During the Diving Reflex: Insights into Physiological Adaptability.
Proceedings of the Computing in Cardiology, 2023

EGM Reconstruction from BSPs in Atrial Fibrillation Using Deep Learning.
Proceedings of the Computing in Cardiology, 2023

2022
Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems.
IEEE Trans. Cogn. Commun. Netw., 2022

Hepatitis C Virus positivity prediction from serum samples using NIRS and L1-penalized classification.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Quantifying the Autonomic Nervous System Influence on Heart Rate Turbulence using Partial Least Squares Path Modeling.
Proceedings of the Computing in Cardiology, 2022

Non-Invasive Atrial Fibrillation Driver Localization Using Recurrent Neural Networks and Body Surface Potentials.
Proceedings of the Computing in Cardiology, 2022

2021
Assessment of Classification Models and Relevant Features on Nonalcoholic Steatohepatitis Using Random Forest.
Entropy, 2021

Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation.
Biomed. Signal Process. Control., 2021

Detection of Atrial Fibrillation Driver Locations Using CNN and Body Surface Potentials.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.
Medical Biol. Eng. Comput., 2020

Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.
J. Medical Syst., 2020

Atrial Fibrillation Driver Localization From Body Surface Potentials Using Deep Learning.
Proceedings of the Computing in Cardiology, 2020

2019
Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events.
Medical Biol. Eng. Comput., 2019

2017
On the Influence of Heart Rate and Coupling Interval Prematurity on Heart Rate Turbulence.
IEEE Trans. Biomed. Eng., 2017

Including a Priori Knowledge in the Solution of the Inverse Problem During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

Modeling Cardiovascular Condition Evolution in Hypertensive Population Using Graph Signal Processing.
Proceedings of the Computing in Cardiology, 2017

A Group Lasso Based Method for Automatic Physiological Rhythm Analysis.
Proceedings of the Computing in Cardiology, 2017

L1 Penalized Cox Regression to Characterize Cardiovascular Events in Hypertensive Patients.
Proceedings of the Computing in Cardiology, 2017

Analysis of Heart Rate Variability Influence on Heart Rate Turbulence Using Boosted Regression Trees in Heart Failure Patients.
Proceedings of the Computing in Cardiology, 2017

2016
High diagnostic quality ECG compression and CS signal reconstruction in body sensor networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Evolution of the Heart Rate Variability Complexity during Kangchenjunga Climbing.
Proceedings of the Computing in Cardiology, 2015

Heart Rate Turbulence Modeling using Boosted Regression Trees.
Proceedings of the Computing in Cardiology, 2015

Fetal Heart Rate Complexity Measures to Detect Hypoxia.
Proceedings of the Computing in Cardiology, 2015

2014
Nonparametric Signal Processing Validation in T-Wave Alternans Detection and Estimation.
IEEE Trans. Biomed. Eng., 2014

Spectrally adapted Mercer kernels for support vector nonuniform interpolation.
Signal Process., 2014

Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis.
Medical Biol. Eng. Comput., 2014

Post Extrasystolic T Wave Change in Subjects With Structural Healthy Ventricles - Measurement and Simulation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Ontology for Heart Rate Turbulence Domain From The Conceptual Model of SNOMED-CT.
IEEE Trans. Biomed. Eng., 2013

Heart Rate Turbulence Analysis Based on Photoplethysmography.
IEEE Trans. Biomed. Eng., 2013

Spectral and Nonlinear Analysis in Surgical Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, 2013

A Modified Hilbert-Huang Algorithm to Assess Spectral Parameters in Intense Exercise.
Proceedings of the Computing in Cardiology, 2013

Nonlinear Characteristics of Ventricular FibrillationDepend on Myocardial Infarction Locations.
Proceedings of the Computing in Cardiology, 2013

eLab: A Web-based Platform to Perform HRV Analysis and Store Cardiac Signals.
Proceedings of the Computing in Cardiology, 2013

Physiological Feature Analysis in Heart Rate Turbulence using LASSO Model.
Proceedings of the Computing in Cardiology, 2013

Seven-day Analysis of Atrial Fibrillation and Circadian Rhythms.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Fundamental frequency estimation in atrial fibrillation signals using correntropy and Fourier Organization Analysis.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2010
Heart Rate Variability on 7-Day Holter Monitoring Using a Bootstrap Rhythmometric Procedure.
IEEE Trans. Biomed. Eng., 2010

Fundamental Frequency and Regularity of Cardiac Electrograms With Fourier Organization Analysis.
IEEE Trans. Biomed. Eng., 2010

2009
Heart Rate Turbulence Denoising Using Support Vector Machines.
IEEE Trans. Biomed. Eng., 2009


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