Atrial fibrillation analysis based on ICA including statistical and temporal source information. - Francisco Castells; Jorge Igual; José Joaquín Rieta; César Sánchez 002; José Millet (ICASSP (5), 2003)

Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias. - Francisco Castells; Jorge Igual; Vicente Zarzoso; José Joaquín Rieta; José Millet (ICA, 2004)

Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes. - Francisco Castells; Cibeles Mora; José Millet; José Joaquín Rieta; César Sánchez 002; Juan Manuel Sanchis (ICA, 2004)

Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis. - José Joaquín Rieta; César Sánchez 002; Juan Manuel Sanchis; Francisco Castells; José Millet (ICA, 2004)

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)

Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration. - Juan Manuel Sanchis; Francisco Castells; José Joaquín Rieta (ICA, 2004)

A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures. - Juan Manuel Sanchis; José Joaquín Rieta; Francisco Castells; José Millet (ICA, 2004)

Atrial activity extraction for atrial fibrillation analysis using blind source separation. - José Joaquín Rieta; Francisco Castells; César Sánchez 002; Vicente Zarzoso; José Millet (IEEE Trans. Biomed. Eng., 2004)

Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts. - Francisco Castells; Cibeles Mora; José Joaquín Rieta; David Moratal-Pérez; José Millet (Medical Biol. Eng. Comput., 2005)

Atrial activity extraction from atrial fibrillation episodes based on maximum likelihood source separation. - Francisco Castells; Jorge Igual; José Millet; José Joaquín Rieta (Signal Process., 2005)

Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. - Francisco Castells; José Joaquín Rieta; José Millet; Vicente Zarzoso (IEEE Trans. Biomed. Eng., 2005)

Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation. - José Joaquín Rieta; Fernando Hornero; César Sánchez 002; Carlos Vayá; David Moratal; Juan Manuel Sanchis (ICA, 2006)

Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis. - César Sánchez 002; José Joaquín Rieta; Carlos Vayá; David Moratal-Pérez; Roberto Zangróniz; José Millet (ICA, 2006)

Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation. - Carlos Vayá; José Joaquín Rieta; César Sánchez 002; David Moratal (ICA, 2006)

Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation. - Philip Langley; José Joaquín Rieta; Martin Stridh; José Millet; Leif Sörnmo; Alan Murray (IEEE Trans. Biomed. Eng., 2006)

A Learning Based Widrow-Hoff Delta Algorithm for Noise Reduction in Biomedical Signals. - Jorge Mateo Sotos; César Sánchez 002; Carlos Vayá; Raquel Cervigón Abad; José Joaquín Rieta (IWINAC (1), 2007)

Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies. - Roberto Sanz-Requena; David Moratal; Diego Ramón García-Sánchez; Vicente Bodí; José Joaquín Rieta; Juan Manuel Sanchis (Comput. Medical Imaging Graph., 2007)

Convolutive Blind Source Separation Algorithms Applied to the Electrocardiogram of Atrial Fibrillation: Study of Performance. - Carlos Vayá; José Joaquín Rieta; César Sánchez 002; David Moratal (IEEE Trans. Biomed. Eng., 2007)

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)

Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation. - Carlos Vayá; José Joaquín Rieta (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)

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)

An efficient method for ectopic beats cancellation based on radial basis function. - Jorge Mateo Satos; Ana M. Torres; 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)

Advances in modeling and characterization of atrial arrhythmias. - José Joaquín Rieta; Flavia Ravelli; Leif Sörnmo (Biomed. Signal Process. Control., 2013)

Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation. - Jorge Mateo Satos; José Joaquín Rieta (Comput. Biol. Medicine, 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)