Óscar Barquero-Pérez
Orcid: 0000-0002-7235-3986
According to our database1,
Óscar Barquero-Pérez
authored at least 42 papers
between 2009 and 2024.
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Bibliography
2024
Non-invasive estimation of atrial fibrillation driver position using long-short term memory neural networks and body surface potentials.
Comput. Methods Programs Biomed., 2024
2023
Modeling Gender Differences in Heart Rate During the Diving Reflex: Insights into Physiological Adaptability.
Proceedings of the Computing in Cardiology, 2023
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
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
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the Computing in Cardiology, 2015
Proceedings of the Computing in Cardiology, 2015
Proceedings of the Computing in Cardiology, 2015
2014
Nonparametric Signal Processing Validation in T-Wave Alternans Detection and Estimation.
IEEE Trans. Biomed. Eng., 2014
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
IEEE Trans. Biomed. Eng., 2013
IEEE Trans. Biomed. Eng., 2013
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
Proceedings of the Computing in Cardiology, 2013
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
IEEE Trans. Biomed. Eng., 2009