Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers. - César Sánchez 002; José Joaquín Rieta; Francisco Castells; Raúl Alcaraz 001; José Millet (ICA, 2004)

A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation. - Raúl Alcaraz 001; José Joaquín Rieta (Medical Biol. Eng. Comput., 2008)

Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination. - Raúl Alcaraz 001; José Joaquín Rieta (Comput. Biol. Medicine, 2009)

Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation. - Raúl Alcaraz 001; José Joaquín Rieta (Comput. Methods Programs Biomed., 2009)

Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion. - Raúl Alcaraz 001; José Joaquín Rieta; Fernando Hornero (Medical Biol. Eng. Comput., 2009)

Wavelet Sample Entropy Optimization through Optimal Mother Function Selection for Atrial Fibrillation Analysis. - Raúl Alcaraz 001; José Joaquín Rieta (BIOSIGNALS, 2010)

Assessment of Noise Impact in Sample Entropy for the Non-invasive Organization Estimation of Atrial Fibrillation. - Raúl Alcaraz 001; José Joaquín Rieta (BIOSIGNALS, 2010)

Frequency Domain Analysis as Risk Predictor of Sudden Cardiac Death from Long-time ECG Recordings. - Diego García-Saiz; César Sánchez 002; Raúl Alcaraz 001 (BIOSIGNALS, 2010)

Combination of Convolutive Blind Signal Separation and Wavelet Decomposition to Extract the Atrial Activity in Atrial Fibrillation. - Carlos Vayá; José Joaquín Rieta; Raúl Alcaraz 001 (BIOSIGNALS, 2010)

A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms. - Raúl Alcaraz 001; José Joaquín Rieta (Biomed. Signal Process. Control., 2010)

Optimal parameters study for sample entropy-based atrial fibrillation organization analysis. - Raúl Alcaraz 001; Daniel E. Abásolo; Roberto Hornero; José Joaquín Rieta (Comput. Methods Programs Biomed., 2010)

Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation. - Raúl Alcaraz 001; Fernando Hornero; José Joaquín Rieta (EMBC, 2011)

Validation of surface atrial fibrillation organization indicators through invasive recordings. - Raúl Alcaraz 001; Fernando Hornero; José Joaquín Rieta (EMBC, 2011)

Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis. - Arturo Martínez-Rodrigo; Raúl Alcaraz 001; José Joaquín Rieta (EMBC, 2011)

Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings. - Raúl Alcaraz 001; Frida Sandberg; Leif Sörnmo; José Joaquín Rieta (IEEE Trans. Biomed. Eng., 2011)

Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG. - Raúl Alcaraz 001; José Joaquín Rieta (Comput. Math. Methods Medicine, 2012)

Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome. - Antonio Hernández; Raúl Alcaraz 001; Fernando Hornero; José Joaquín Rieta (CinC, 2013)

Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge. - Antonio Hernández; Raúl Alcaraz 001; Fernando Hornero; José Joaquín Rieta (CinC, 2013)

Study on the Optimal Use of Generalized Hurst Exponents for Noninvasive Estimation of Atrial Fibrillation Organization. - Matilde Julián; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2013)

Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG. - Matilde Julián; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2013)

Nonlinear synchronization assessment between atrial and ventricular activations series from the surface ECG in atrial fibrillation. - Raúl Alcaraz 001; José Joaquín Rieta (Biomed. Signal Process. Control., 2013)

Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings. - Arturo Martínez-Rodrigo; Raúl Alcaraz 001; José Joaquín Rieta (Comput. Methods Programs Biomed., 2013)

Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation. - Matilde Julián; Raúl Alcaraz 001; José Joaquín Rieta (Comput. Biol. Medicine, 2014)

Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome. - Raúl Alcaraz 001; Fernando Hornero; Lorenzo Fácila; José Joaquín Rieta (CinC, 2015)

The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction. - Raúl Alcaraz 001; Arturo Martínez-Rodrigo; José Joaquín Rieta (CinC, 2015)

Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation. - Jorge Felix; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2015)

Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation. - Jorge Felix; Vincent Jacquemet; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2015)

Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation. - Raúl Alcaraz 001; Arturo Martínez-Rodrigo; José Joaquín Rieta (Comput. Methods Programs Biomed., 2015)

Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms. - Juan Ródenas; Manuel García; Raúl Alcaraz 001; José Joaquín Rieta (Entropy, 2015)

EEG Mapping for Arousal Level Quantification Using Dynamic Quadratic Entropy. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Raúl Alcaraz 001; José Manuel Pastor 001; Antonio Fernández-Caballero 001 (ISAmI, 2016)

Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation. - Manuel García; Juan Ródenas; Raúl Alcaraz 001; José Joaquín Rieta (Comput. Methods Programs Biomed., 2016)

Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. - Beatriz Chicote; Unai Irusta; Raúl Alcaraz 001; José Joaquín Rieta; Elisabete Aramendi; Iraia Isasi; Daniel Alonso Moreno; Karlos Ibarguren (Entropy, 2016)

Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Roberto Zangróniz Higuera; José Manuel Pastor 001; Raúl Alcaraz 001 (Entropy, 2016)

Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation. - Raúl Alcaraz 001; Fernando Hornero; José Joaquín Rieta (CinC, 2017)

Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms. - Manuel García; Juan Ródenas; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection. - Francisco González; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings. - Francisco González; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation. - Miguel Martínez; Juan Ródenas; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms. - Miguel Martínez; Juan Ródenas; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms. - Diego I. Osorio; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation. - Diego I. Osorio; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2017)

Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States. - Raúl Alcaraz 001; Beatriz García-Martínez; Roberto Zangróniz; Arturo Martínez-Rodrigo (IWINAC (1), 2017)

Conditional Entropy Estimates for Distress Detection with EEG Signals. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Antonio Fernández-Caballero 001; Pascual González; Raúl Alcaraz 001 (IWINAC (1), 2017)

Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Antonio Fernández-Caballero 001; José Moncho-Bogani; José Manuel Pastor 001; Raúl Alcaraz 001 (IWINAC (1), 2017)

Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Raúl Alcaraz 001; Antonio Fernández-Caballero 001; Pascual González (UCAmI, 2017)

Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Raúl Alcaraz 001; Antonio Fernández-Caballero 001; Pascual González (UCAmI, 2017)

Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation. - Juan Ródenas; Manuel García; Raúl Alcaraz 001; José Joaquín Rieta (Complex., 2017)

Symbolic Analysis of Brain Dynamics Detects Negative Stress. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Roberto Zangróniz; José Manuel Pastor 001; Raúl Alcaraz 001 (Entropy, 2017)

Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms. - Miguel Martínez; Juan Ródenas; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2018)

An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms. - Juan Ródenas; Manuel García; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2018)

Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Antonio Fernández-Caballero 001; Raúl Alcaraz 001 (ISAmI, 2018)

Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Antonio Fernández-Caballero 001; Raúl Alcaraz 001 (ISAmI, 2018)

Symbolic Entropy Analysis and Its Applications. - Raúl Alcaraz 001 (Entropy, 2018)

Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. - Beatriz Chicote; Unai Irusta; Elisabete Aramendi; Raúl Alcaraz 001; José Joaquín Rieta; Iraia Isasi; Daniel Alonso; María del Mar Baqueriza; Karlos Ibarguren (Entropy, 2018)

Entropy Analysis and Neural Network-Based Adaptive Control of a Non-Equilibrium Four-Dimensional Chaotic System with Hidden Attractors. - Hadi Jahanshahi; Maryam Shahriari-Kahkeshi; Raúl Alcaraz 001; Xiong Wang 003; Vijay P. Singh; Viet-Thanh Pham (Entropy, 2019)

Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Luciano Zunino; Raúl Alcaraz 001; Antonio Fernández-Caballero 001 (Frontiers Neuroinformatics, 2019)

Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Raúl Alcaraz 001; Pascual González; Antonio Fernández-Caballero 001 (Int. J. Neural Syst., 2019)

Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation. - Eva M. Cirugeda-Roldán; Sofía Calero; Víctor Manuel Hidalgo; José Enero; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation. - Eva M. Cirugeda-Roldán; Sofía Calero; Aurelio Quesada; Víctor Manuel Hidalgo; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation. - Eva M. Cirugeda-Roldán; Sofía Calero; Eva Plancha; José Enero; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation. - Pilar Escribano; Juan Ródenas; Miguel A. Arias; Philip Langley; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features. - Emanuela Finotti; Edward J. Ciaccio; Hasan Garan; Vicente Bertomeu-González; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2020)

Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation. - Emanuela Finotti; Edward J. Ciaccio; Hasan Garan; Fernando Hornero; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2020)

Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings. - Álvaro Huerta; Arturo Martínez-Rodrigo; Miguel A. Arias; Philip Langley; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs. - Álvaro Huerta; Arturo Martínez-Rodrigo; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Comparative Study of Convolutional Neural Networks for ECG Quality Assessment. - Álvaro Huerta; Arturo Martínez-Rodrigo; Alberto Puchol; Marta I Pachón; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge. - Daniele Padovano; Arturo Martínez-Rodrigo; José Manuel Pastor 001; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation. - Juan Ródenas; Pilar Escribano; Miguel Martinez-Iniesta; Manuel García; Fernando Hornero; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features. - Antonio Ruiz; Miguel A. Arias; Alberto Puchol; Marta I Pachón; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2020)

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. - Aikaterini Vraka; Fernando Hornero; Aurelio Quesada; Luca Faes; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2020)

Recurrent Neural Network-Based Robust Nonsingular Sliding Mode Control With Input Saturation for a Non-Holonomic Spherical Robot. - Shu-Bo Chen; Alireza Beigi; Amin Yousefpour; Farhad Rajaee; Hadi Jahanshahi; Stelios D. Bekiros; Raúl Alcaraz Martínez; Yuming Chu (IEEE Access, 2020)

Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy. - Edison Mayanja; Livingstone S. Luboobi; Juma Kasozi; Rebecca N. Nsubuga; Raúl Alcaraz 001 (Comput. Math. Methods Medicine, 2020)

Optimal Control of Time-Delay Fractional Equations via a Joint Application of Radial Basis Functions and Collocation Method. - Shu-Bo Chen; Samaneh Soradi-Zeid; Hadi Jahanshahi; Raúl Alcaraz 001; José Francisco Gómez-Aguilar; Stelios D. Bekiros; Yu-Ming Chu 001 (Entropy, 2020)

Multi-scale Entropy Evaluates the Proarrhythmic Condition of Persistent Atrial Fibrillation Patients Predicting Early Failure of Electrical Cardioversion. - Eva M. Cirugeda-Roldán; Sofía Calero; Víctor Manuel Hidalgo; José Enero; José Joaquín Rieta; Raúl Alcaraz 001 (Entropy, 2020)

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. - Álvaro Huerta Herraiz; Arturo Martínez-Rodrigo; Vicente Bertomeu-González; Aurelio Quesada; José Joaquín Rieta; Raúl Alcaraz 001 (Entropy, 2020)

Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate. - Aikaterini Vraka; Fernando Hornero; Vicente Bertomeu-González; Joaquín Osca; Raúl Alcaraz 001; José Joaquín Rieta (Entropy, 2020)

Synchronization of a Non-Equilibrium Four-Dimensional Chaotic System Using a Disturbance-Observer-Based Adaptive Terminal Sliding Mode Control Method. - Shaojie Wang; Amin Yousefpour; Abdullahi Yusuf; Hadi Jahanshahi; Raúl Alcaraz 001; Shaobo He; Jesús M. Muñoz-Pacheco (Entropy, 2020)

Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Antonio Fernández-Caballero 001; José Moncho-Bogani; Raúl Alcaraz 001 (Neural Comput. Appl., 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. - Heng Chen; Shaobo He; Ana Dalia Pano-Azucena; Amin Yousefpour; Hadi Jahanshahi; Miguel Ángel López 001; Raúl Alcaraz 001 (Symmetry, 2020)

Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems. - Raúl Alcaraz 001; Arturo Martínez-Rodrigo; Roberto Zangróniz; José Joaquín Rieta (IEEE Trans. Educ., 2020)

Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers. - Jesús Cano 003; Vicente Bertomeu-González; Lorenzo Fácila; Roberto Zangróniz; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2021)

Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography. - Jesús Cano 003; Fernando Hornero; Aurelio Quesada; Arturo Martínez-Rodrigo; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2021)

ECG Quality Assessment via Deep Learning and Data Augmentation. - Álvaro Huerta; Arturo Martínez-Rodrigo; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2021)

Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation. - Aikaterini Vraka; Vicente Bertomeu-González; Fernando Hornero; Flavia Ravelli; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2021)

Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure. - Beatriz García-Martínez; Antonio Fernández-Caballero 001; Raúl Alcaraz 001; Arturo Martínez-Rodrigo (IWANN (1), 2021)

Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings. - Beatriz García-Martínez; Antonio Fernández-Caballero 001; Raúl Alcaraz 001; Arturo Martínez-Rodrigo (Neural Comput. Appl., 2021)

Assessment of dispersion patterns for negative stress detection from electroencephalographic signals. - Beatriz García-Martínez; Antonio Fernández-Caballero 001; Raúl Alcaraz 001; Arturo Martínez-Rodrigo (Pattern Recognit., 2021)

Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network. - Arturo Martínez-Rodrigo; Beatriz García-Martínez; Álvaro Huerta; Raúl Alcaraz 001 (Sensors, 2021)

A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition. - Beatriz García-Martínez; Arturo Martínez-Rodrigo; Raúl Alcaraz 001; Antonio Fernández-Caballero 001 (IEEE Trans. Affect. Comput., 2021)

Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems. - Raúl Alcaraz 001; Arturo Martínez-Rodrigo; Roberto Zangróniz; José Joaquín Rieta (IEEE Trans. Learn. Technol., 2021)

ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings. - Jesús Cano 003; Vicente Bertomeu-González; Lorenzo Fácia; José Moreno-Arribas; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2022)

Cuffless Hypertension Risk Assessment and the Significance of Calibration. - Jesús Cano 003; Lorenzo Fácia; Fernando Hornero; Philip Langley; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2022)

Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation. - Pilar Escribano; Juan Ródenas; Manuel García; Miguel A. Arias; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2022)

Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection. - Daniele Padovano; Arturo Martínez-Rodrigo; José Manuel Pastor 001; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2022)

The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation. - Aikaterini Vraka; Vicente Bertomeu-González; Leif Sörnmo; Roberto Zangróniz; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2022)

Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation. - Aikaterini Vraka; José Moreno-Arribas; Juan M. Gracia-Baena; Flavia Ravelli; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2022)

On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning. - Daniele Padovano; Arturo Martínez-Rodrigo; José Manuel Pastor 001; José Joaquín Rieta; Raúl Alcaraz 001 (IEEE Access, 2022)

Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation. - Emanuela Finotti; Aurelio Quesada; Edward J. Ciaccio; Hasan Garan; Fernando Hornero; Raúl Alcaraz 001; José Joaquín Rieta (Entropy, 2022)

Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States. - Beatriz García-Martínez; Antonio Fernández-Caballero 001; Arturo Martínez-Rodrigo; Raúl Alcaraz 001; Paulo Novais (Int. J. Neural Syst., 2022)

An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation. - Diego I. Osorio; Aikaterini Vraka; Aurelio Quesada; Fernando Hornero; Raúl Alcaraz 001; José Joaquín Rieta (Sensors, 2022)

Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation. - Aikaterini Vraka; Vicente Bertomeu-González; Fernando Hornero; Aurelio Quesada; Raúl Alcaraz 001; José Joaquín Rieta (Sensors, 2022)

Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals. - Beatriz García-Martínez; Antonio Fernández-Caballero 001; Raúl Alcaraz 001; Arturo Martínez-Rodrigo (IEEE Trans. Cogn. Dev. Syst., 2022)

Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment. - Álvaro Huerta; Arturo Martínez-Rodrigo; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2023)

Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals. - S. Mula; Roberto Zangróniz; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2023)

Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection. - Daniele Padovano; Arturo Martínez-Rodrigo; José Manuel Pastor 001; José Joaquín Rieta; Raúl Alcaraz 001 (CinC, 2023)

Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry. - Aikaterini Vraka; Vicente Bertomeu-González; Aurelio Quesada; Roberto Zangróniz; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2023)

Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis. - Aikaterini Vraka; Lorenzo Fácila; Fernando Hornero; Arturo Martínez-Rodrigo; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2023)

Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring. - Aikaterini Vraka; Juan M. Gracia-Baena; Flavia Ravelli; Philip Langley; Raúl Alcaraz 001; José Joaquín Rieta (CinC, 2023)

Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation. - Álvaro Huerta; Arturo Martínez-Rodrigo; Davide Carneiro; Vicente Bertomeu-González; José Joaquín Rieta; Raúl Alcaraz 001 (IEEE Access, 2023)

Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots. - Álvaro Huerta; Arturo Martínez-Rodrigo; Vicente Bertomeu-González; Óscar Ayo-Martin; José Joaquín Rieta; Raúl Alcaraz 001 (Biomed. Signal Process. Control., 2024)

A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring. - Aikaterini Vraka; Roberto Zangróniz; Aurelio Quesada; Fernando Hornero; Raúl Alcaraz 001; José Joaquín Rieta (Sensors, 2024)

Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis. - Pilar Escribano; Juan Ródenas; Manuel García; Fernando Hornero; Juan M. Gracia-Baena; Raúl Alcaraz 001; José Joaquín Rieta (Entropy, 2024)

A Novel Nonlinear Method for Cardiovascular Data Synchronization. - Daniele Padovano; Arturo Martínez-Rodrigo; Norbert Marwan; Santiago Mula Muñoz; José Joaquín Rieta; Raúl Alcaraz 001 (IEEE Access, 2025)