Raúl Alcaraz
Orcid: 0000-0002-0942-3638Affiliations:
- University of Castilla-La Mancha (UCLM), Research Group in Electronic, Biomedical, and Telecommunication Engineering, Cuenca, Spain
According to our database1,
Raúl Alcaraz
authored at least 110 papers
between 2004 and 2024.
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Bibliography
2024
A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring.
Sensors, 2024
2023
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
IEEE Access, 2023
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring.
Proceedings of the Computing in Cardiology, 2023
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.
Proceedings of the Computing in Cardiology, 2023
Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry.
Proceedings of the Computing in Cardiology, 2023
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection.
Proceedings of the Computing in Cardiology, 2023
Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals.
Proceedings of the Computing in Cardiology, 2023
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment.
Proceedings of the Computing in Cardiology, 2023
2022
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals.
IEEE Trans. Cogn. Dev. Syst., 2022
Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation.
Sensors, 2022
An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation.
Sensors, 2022
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States.
Int. J. Neural Syst., 2022
Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation.
Entropy, 2022
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning.
IEEE Access, 2022
Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection.
Proceedings of the Computing in Cardiology, 2022
Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings.
Proceedings of the Computing in Cardiology, 2022
2021
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems.
IEEE Trans. Learn. Technol., 2021
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition.
IEEE Trans. Affect. Comput., 2021
Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.
Sensors, 2021
Assessment of dispersion patterns for negative stress detection from electroencephalographic signals.
Pattern Recognit., 2021
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings.
Neural Comput. Appl., 2021
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure.
Proceedings of the Advances in Computational Intelligence, 2021
Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems.
IEEE Trans. Educ., 2020
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, 2020
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress.
Neural Comput. Appl., 2020
Synchronization of a Non-Equilibrium Four-Dimensional Chaotic System Using a Disturbance-Observer-Based Adaptive Terminal Sliding Mode Control Method.
Entropy, 2020
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate.
Entropy, 2020
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices.
Entropy, 2020
Multi-scale Entropy Evaluates the Proarrhythmic Condition of Persistent Atrial Fibrillation Patients Predicting Early Failure of Electrical Cardioversion.
Entropy, 2020
Optimal Control of Time-Delay Fractional Equations via a Joint Application of Radial Basis Functions and Collocation Method.
Entropy, 2020
Comput. Math. Methods Medicine, 2020
Recurrent Neural Network-Based Robust Nonsingular Sliding Mode Control With Input Saturation for a Non-Holonomic Spherical Robot.
IEEE Access, 2020
Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.
Proceedings of the Computing in Cardiology, 2020
Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features.
Proceedings of the Computing in Cardiology, 2020
Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation.
Proceedings of the Computing in Cardiology, 2020
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge.
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings.
Proceedings of the Computing in Cardiology, 2020
Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features.
Proceedings of the Computing in Cardiology, 2020
Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
2019
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.
Int. J. Neural Syst., 2019
Frontiers Neuroinformatics, 2019
Entropy Analysis and Neural Network-Based Adaptive Control of a Non-Equilibrium Four-Dimensional Chaotic System with Hidden Attractors.
Entropy, 2019
2018
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest.
Entropy, 2018
Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems.
Proceedings of the Ambient Intelligence, 2018
Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings.
Proceedings of the Ambient Intelligence, 2018
An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms.
Proceedings of the Computing in Cardiology, 2018
Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms.
Proceedings of the Computing in Cardiology, 2018
2017
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation.
Complex., 2017
Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms.
Proceedings of the Computing in Cardiology, 2017
Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms.
Proceedings of the Computing in Cardiology, 2017
Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms.
Proceedings of the Computing in Cardiology, 2017
Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
2016
Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy, 2016
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest.
Entropy, 2016
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation.
Comput. Methods Programs Biomed., 2016
Proceedings of the Ambient Intelligence - Software and Applications, 2016
2015
Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms.
Entropy, 2015
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed., 2015
Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015
Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015
The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction.
Proceedings of the Computing in Cardiology, 2015
Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome.
Proceedings of the Computing in Cardiology, 2015
2014
Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation.
Comput. Biol. Medicine, 2014
2013
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings.
Comput. Methods Programs Biomed., 2013
Nonlinear synchronization assessment between atrial and ventricular activations series from the surface ECG in atrial fibrillation.
Biomed. Signal Process. Control., 2013
Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG.
Proceedings of the Computing in Cardiology, 2013
Study on the Optimal Use of Generalized Hurst Exponents for Noninvasive Estimation of Atrial Fibrillation Organization.
Proceedings of the Computing in Cardiology, 2013
Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge.
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013
2012
Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG.
Comput. Math. Methods Medicine, 2012
2011
Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings.
IEEE Trans. Biomed. Eng., 2011
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Validation of surface atrial fibrillation organization indicators through invasive recordings.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis.
Comput. Methods Programs Biomed., 2010
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms.
Biomed. Signal Process. Control., 2010
Combination of Convolutive Blind Signal Separation and Wavelet Decomposition to Extract the Atrial Activity in Atrial Fibrillation.
Proceedings of the BIOSIGNALS 2010, 2010
Frequency Domain Analysis as Risk Predictor of Sudden Cardiac Death from Long-time ECG Recordings.
Proceedings of the BIOSIGNALS 2010, 2010
Assessment of Noise Impact in Sample Entropy for the Non-invasive Organization Estimation of Atrial Fibrillation.
Proceedings of the BIOSIGNALS 2010, 2010
Wavelet Sample Entropy Optimization through Optimal Mother Function Selection for Atrial Fibrillation Analysis.
Proceedings of the BIOSIGNALS 2010, 2010
2009
Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion.
Medical Biol. Eng. Comput., 2009
Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed., 2009
Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination.
Comput. Biol. Medicine, 2009
2008
A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation.
Medical Biol. Eng. Comput., 2008
2004
Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004