Raúl Alcaraz

116 papers Journal 50Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sinus rhythm maintenance in persistent atrial fibrillation: 12-lead ECG multiscale entropy characterization.
Medical Biol. Eng. Comput.
Eva M. Cirugeda-Roldán, Eva Plancha, Víctor Manuel Hidalgo, Sofía Calero, José Joaquín Rieta, Raúl Alcaraz
2025 J jnl
A Novel Nonlinear Method for Cardiovascular Data Synchronization.
IEEE Access
Daniele Padovano, Arturo Martínez-Rodrigo, Norbert Marwan, Santiago Mula Muñoz, José Joaquín Rieta, Raúl Alcaraz
2025 J jnl
Comparative Study on the Generalization Ability of Machine Learning and Deep Learning Algorithms for Quality Assessment of Wearable PPG Recordings.
IEEE Access
Santiago Mula Muñoz, Roberto Zangróniz, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2025 — conf
Methods for Wearable Electrocardiogram and Photoplethysmogram Synchronization.
IWBBIO (2)
Daniele Padovano, Arturo Martínez-Rodrigo, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2025 — conf
Optimization of the Tau Parameter in Phase Space Plots for ECG Signal Quality Assessment.
IWBBIO (2)
Álvaro Huerta, Pilar Escribano, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2024 J jnl
A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring.
Sensors
Aikaterini Vraka, Roberto Zangróniz, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
2024 J jnl
Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis.
Entropy
Pilar Escribano, Juan Ródenas, Manuel García, Fernando Hornero, Juan M. Gracia-Baena, Raúl Alcaraz, José Joaquín Rieta
2024 J jnl
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots.
Biomed. Signal Process. Control.
Álvaro Huerta, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2023 — conf
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2023 J jnl
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
IEEE Access
Álvaro Huerta, Arturo Martínez-Rodrigo, Davide Carneiro, Vicente Bertomeu-González, José Joaquín Rieta, Raúl Alcaraz
2023 — conf
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.
CinC
Aikaterini Vraka, Lorenzo Fácila, Fernando Hornero, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2023 — conf
Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry.
CinC
Aikaterini Vraka, Vicente Bertomeu-González, Aurelio Quesada, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
2023 — conf
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring.
CinC
Aikaterini Vraka, Juan M. Gracia-Baena, Flavia Ravelli, Philip Langley, Raúl Alcaraz, José Joaquín Rieta
2023 — conf
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2023 — conf
Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals.
CinC
S. Mula, Roberto Zangróniz, José Joaquín Rieta, Raúl Alcaraz
2022 J jnl
An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation.
Sensors
Diego I. Osorio, Aikaterini Vraka, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
2022 J jnl
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals.
IEEE Trans. Cogn. Dev. Syst.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2022 — conf
Cuffless Hypertension Risk Assessment and the Significance of Calibration.
CinC
Jesús Cano, Lorenzo Fácia, Fernando Hornero, Philip Langley, Raúl Alcaraz, José Joaquín Rieta
2022 — conf
ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings.
CinC
Jesús Cano, Vicente Bertomeu-González, Lorenzo Fácia, José Moreno-Arribas, Raúl Alcaraz, José Joaquín Rieta
2022 J jnl
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States.
Int. J. Neural Syst.
Beatriz García-Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, Raúl Alcaraz, Paulo Novais
2022 — conf
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2022 — conf
Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
CinC
Aikaterini Vraka, José Moreno-Arribas, Juan M. Gracia-Baena, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta
2022 J jnl
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning.
IEEE Access
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2022 J jnl
Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation.
Entropy
Emanuela Finotti, Aurelio Quesada, Edward J. Ciaccio, Hasan Garan, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
2022 — conf
Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation.
CinC
Pilar Escribano, Juan Ródenas, Manuel García, Miguel A. Arias, José Joaquín Rieta, Raúl Alcaraz
2022 J jnl
Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation.
Sensors
Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Aurelio Quesada, Raúl Alcaraz, José Joaquín Rieta
2022 — conf
The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
CinC
Aikaterini Vraka, Vicente Bertomeu-González, Leif Sörnmo, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
2021 J jnl
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition.
IEEE Trans. Affect. Comput.
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Raúl Alcaraz, Antonio Fernández-Caballero
2021 J jnl
Assessment of dispersion patterns for negative stress detection from electroencephalographic signals.
Pattern Recognit.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 J jnl
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings.
Neural Comput. Appl.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 — conf
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure.
IWANN (1)
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 J jnl
Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.
Sensors
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Álvaro Huerta, Raúl Alcaraz
2021 — conf
ECG Quality Assessment via Deep Learning and Data Augmentation.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2021 J jnl
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems.
IEEE Trans. Learn. Technol.
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
2021 — conf
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers.
CinC
Jesús Cano, Vicente Bertomeu-González, Lorenzo Fácila, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
2021 — conf
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
CinC
Jesús Cano, Fernando Hornero, Aurelio Quesada, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2021 — conf
Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation.
CinC
Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta
2020 J jnl
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices.
Entropy
Álvaro Huerta Herraiz, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Aurelio Quesada, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
A Multistable Chaotic Jerk System with Coexisting and Hidden Attractors: Dynamical and Complexity Analysis, FPGA-Based Realization, and Chaos Stabilization Using a Robust Controller.
Symmetry
Heng Chen, Shaobo He, Ana Dalia Pano-Azucena, Amin Yousefpour, Hadi Jahanshahi, Miguel Ángel López, Raúl Alcaraz
2020 — conf
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems.
IEEE Trans. Educ.
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
2020 — conf
Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation.
CinC
Pilar Escribano, Juan Ródenas, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Comparative Study of Convolutional Neural Networks for ECG Quality Assessment.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features.
CinC
Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Vicente Bertomeu-González, Raúl Alcaraz, José Joaquín Rieta
2020 — conf
Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation.
CinC
Eva M. Cirugeda-Roldán, Sofía Calero, Aurelio Quesada, Víctor Manuel Hidalgo, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy.
Comput. Math. Methods Medicine
Edison Mayanja, Livingstone S. Luboobi, Juma Kasozi, Rebecca N. Nsubuga, Raúl Alcaraz
2020 J jnl
Multi-scale Entropy Evaluates the Proarrhythmic Condition of Persistent Atrial Fibrillation Patients Predicting Early Failure of Electrical Cardioversion.
Entropy
Eva M. Cirugeda-Roldán, Sofía Calero, Víctor Manuel Hidalgo, José Enero, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation.
CinC
Eva M. Cirugeda-Roldán, Sofía Calero, Eva Plancha, José Enero, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress.
Neural Comput. Appl.
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, José Moncho-Bogani, Raúl Alcaraz
2020 — conf
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Optimal Control of Time-Delay Fractional Equations via a Joint Application of Radial Basis Functions and Collocation Method.
Entropy
Shu-Bo Chen, Samaneh Soradi-Zeid, Hadi Jahanshahi, Raúl Alcaraz, José Francisco Gómez-Aguilar, Stelios D. Bekiros, Yu-Ming Chu
2020 — conf
Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features.
CinC
Antonio Ruiz, Miguel A. Arias, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation.
CinC
Eva M. Cirugeda-Roldán, Sofía Calero, Víctor Manuel Hidalgo, José Enero, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.
CinC
Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz, José Joaquín Rieta
2020 J jnl
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate.
Entropy
Aikaterini Vraka, Fernando Hornero, Vicente Bertomeu-González, Joaquín Osca, Raúl Alcaraz, José Joaquín Rieta
2020 — conf
Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation.
CinC
Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
2020 J jnl
Synchronization of a Non-Equilibrium Four-Dimensional Chaotic System Using a Disturbance-Observer-Based Adaptive Terminal Sliding Mode Control Method.
Entropy
Shaojie Wang, Amin Yousefpour, Abdullahi Yusuf, Hadi Jahanshahi, Raúl Alcaraz, Shaobo He, Jesús M. Muñoz-Pacheco
2020 — conf
Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation.
CinC
Juan Ródenas, Pilar Escribano, Miguel Martinez-Iniesta, Manuel García, Fernando Hornero, José Joaquín Rieta, Raúl Alcaraz
2019 J jnl
Entropy Analysis and Neural Network-Based Adaptive Control of a Non-Equilibrium Four-Dimensional Chaotic System with Hidden Attractors.
Entropy
Hadi Jahanshahi, Maryam Shahriari-Kahkeshi, Raúl Alcaraz, Xiong Wang, Vijay P. Singh, Viet-Thanh Pham
2019 J jnl
Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition.
Frontiers Neuroinformatics
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Luciano Zunino, Raúl Alcaraz, Antonio Fernández-Caballero
2019 J jnl
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.
Int. J. Neural Syst.
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, Pascual González, Antonio Fernández-Caballero
2018 — conf
An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms.
CinC
Juan Ródenas, Manuel García, José Joaquín Rieta, Raúl Alcaraz
2018 — conf
Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms.
CinC
Miguel Martínez, Juan Ródenas, José Joaquín Rieta, Raúl Alcaraz
2018 J jnl
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest.
Entropy
Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Raúl Alcaraz, José Joaquín Rieta, Iraia Isasi, Daniel Alonso, María del Mar Baqueriza, Karlos Ibarguren
2018 — conf
Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings.
ISAmI
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, Raúl Alcaraz
2018 J jnl
Symbolic Entropy Analysis and Its Applications.
Entropy
Raúl Alcaraz
2018 — conf
Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems.
ISAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz
2017 — conf
A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation.
CinC
Diego I. Osorio, Raúl Alcaraz, José Joaquín Rieta
2017 — conf
Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms.
CinC
Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
2017 — conf
Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms.
CinC
Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
2017 J jnl
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation.
Complex.
Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta
2017 — conf
Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms.
CinC
Diego I. Osorio, Raúl Alcaraz, José Joaquín Rieta
2017 — conf
Conditional Entropy Estimates for Distress Detection with EEG Signals.
IWINAC (1)
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, Pascual González, Raúl Alcaraz
2017 — conf
Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection.
CinC
Francisco González, Raúl Alcaraz, José Joaquín Rieta
2017 — conf
Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review.
UCAmI
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Raúl Alcaraz, Antonio Fernández-Caballero, Pascual González
2017 — conf
Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition.
IWINAC (1)
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, José Moncho-Bogani, José Manuel Pastor, Raúl Alcaraz
2017 — conf
Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States.
IWINAC (1)
Raúl Alcaraz, Beatriz García-Martínez, Roberto Zangróniz, Arturo Martínez-Rodrigo
2017 — conf
Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation.
CinC
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
2017 — conf
Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
UCAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, Antonio Fernández-Caballero, Pascual González
2017 — conf
Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation.
CinC
Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
2017 J jnl
Symbolic Analysis of Brain Dynamics Detects Negative Stress.
Entropy
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Manuel Pastor, Raúl Alcaraz
2017 — conf
The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings.
CinC
Francisco González, Raúl Alcaraz, José Joaquín Rieta
2016 J jnl
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest.
Entropy
Beatriz Chicote, Unai Irusta, Raúl Alcaraz, José Joaquín Rieta, Elisabete Aramendi, Iraia Isasi, Daniel Alonso Moreno, Karlos Ibarguren
2016 J jnl
Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Roberto Zangróniz Higuera, José Manuel Pastor, Raúl Alcaraz
2016 J jnl
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation.
Comput. Methods Programs Biomed.
Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
2016 — conf
EEG Mapping for Arousal Level Quantification Using Dynamic Quadratic Entropy.
ISAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, José Manuel Pastor, Antonio Fernández-Caballero
2015 — conf
Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation.
CinC
Jorge Felix, Raúl Alcaraz, José Joaquín Rieta
2015 J jnl
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed.
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
2015 — conf
Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation.
CinC
Jorge Felix, Vincent Jacquemet, Raúl Alcaraz, José Joaquín Rieta
2015 — conf
Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome.
CinC
Raúl Alcaraz, Fernando Hornero, Lorenzo Fácila, José Joaquín Rieta
2015 — conf
The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction.
CinC
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
2015 J jnl
Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms.
Entropy
Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta
2014 J jnl
Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation.
Comput. Biol. Medicine
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
2013 — conf
Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome.
CinC
Antonio Hernández, Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
2013 — conf
Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge.
CinC
Antonio Hernández, Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
2013 — conf
Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG.
CinC
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
2013 J jnl
Nonlinear synchronization assessment between atrial and ventricular activations series from the surface ECG in atrial fibrillation.
Biomed. Signal Process. Control.
Raúl Alcaraz, José Joaquín Rieta
2013 — conf
Study on the Optimal Use of Generalized Hurst Exponents for Noninvasive Estimation of Atrial Fibrillation Organization.
CinC
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
2013 J jnl
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings.
Comput. Methods Programs Biomed.
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2012 J jnl
Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG.
Comput. Math. Methods Medicine
Raúl Alcaraz, José Joaquín Rieta
2011 J jnl
Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings.
IEEE Trans. Biomed. Eng.
Raúl Alcaraz, Frida Sandberg, Leif Sörnmo, José Joaquín Rieta
2011 — conf
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis.
EMBC
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2011 — conf
Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation.
EMBC
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
2011 — conf
Validation of surface atrial fibrillation organization indicators through invasive recordings.
EMBC
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
2010 J jnl
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms.
Biomed. Signal Process. Control.
Raúl Alcaraz, José Joaquín Rieta
2010 — conf
Assessment of Noise Impact in Sample Entropy for the Non-invasive Organization Estimation of Atrial Fibrillation.
BIOSIGNALS
Raúl Alcaraz, José Joaquín Rieta
2010 — conf
Combination of Convolutive Blind Signal Separation and Wavelet Decomposition to Extract the Atrial Activity in Atrial Fibrillation.
BIOSIGNALS
Carlos Vayá, José Joaquín Rieta, Raúl Alcaraz
2010 — conf
Frequency Domain Analysis as Risk Predictor of Sudden Cardiac Death from Long-time ECG Recordings.
BIOSIGNALS
Diego García-Saiz, César Sánchez, Raúl Alcaraz
2010 J jnl
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis.
Comput. Methods Programs Biomed.
Raúl Alcaraz, Daniel E. Abásolo, Roberto Hornero, José Joaquín Rieta
2010 — conf
Wavelet Sample Entropy Optimization through Optimal Mother Function Selection for Atrial Fibrillation Analysis.
BIOSIGNALS
Raúl Alcaraz, José Joaquín Rieta
2009 J jnl
Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion.
Medical Biol. Eng. Comput.
Raúl Alcaraz, José Joaquín Rieta, Fernando Hornero
2009 J jnl
Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed.
Raúl Alcaraz, José Joaquín Rieta
2009 J jnl
Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination.
Comput. Biol. Medicine
Raúl Alcaraz, José Joaquín Rieta
2008 J jnl
A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation.
Medical Biol. Eng. Comput.
Raúl Alcaraz, José Joaquín Rieta
2004 — conf
Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers.
ICA
César Sánchez, José Joaquín Rieta, Francisco Castells, Raúl Alcaraz, José Millet