José Joaquín Rieta

110 papers Journal 43Unranked 67

Year	Rank	Type	Title / 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	—	`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	—	`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	—	`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	—	`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`	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	—	`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	—	`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	—	`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
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
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`	Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection. CinC Francisco González, Raúl Alcaraz, José Joaquín Rieta
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 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	—	`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 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
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	J	`jnl`	Advances in modeling and characterization of atrial arrhythmias. Biomed. Signal Process. Control. José Joaquín Rieta, Flavia Ravelli, Leif Sörnmo
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	J	`jnl`	Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation. Comput. Biol. Medicine Jorge Mateo Satos, 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	—	`conf`	An efficient method for ectopic beats cancellation based on radial basis function. EMBC Jorge Mateo Satos, Ana M. Torres, 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	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
2009	J	`jnl`	Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation. Medical Biol. Eng. Comput. Carlos Vayá, 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
2007	—	`conf`	A Learning Based Widrow-Hoff Delta Algorithm for Noise Reduction in Biomedical Signals. IWINAC (1) Jorge Mateo Sotos, César Sánchez, Carlos Vayá, Raquel Cervigón Abad, José Joaquín Rieta
2007	J	`jnl`	Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies. Comput. Medical Imaging Graph. Roberto Sanz-Requena, David Moratal, Diego Ramón García-Sánchez, Vicente Bodí, José Joaquín Rieta, Juan Manuel Sanchis
2007	J	`jnl`	Convolutive Blind Source Separation Algorithms Applied to the Electrocardiogram of Atrial Fibrillation: Study of Performance. IEEE Trans. Biomed. Eng. Carlos Vayá, José Joaquín Rieta, César Sánchez, David Moratal
2006	J	`jnl`	Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation. IEEE Trans. Biomed. Eng. Philip Langley, José Joaquín Rieta, Martin Stridh, José Millet, Leif Sörnmo, Alan Murray
2006	—	`conf`	Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation. ICA José Joaquín Rieta, Fernando Hornero, César Sánchez, Carlos Vayá, David Moratal, Juan Manuel Sanchis
2006	—	`conf`	Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation. ICA Carlos Vayá, José Joaquín Rieta, César Sánchez, David Moratal
2006	—	`conf`	Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis. ICA César Sánchez, José Joaquín Rieta, Carlos Vayá, David Moratal-Pérez, Roberto Zangróniz, José Millet
2005	J	`jnl`	Atrial activity extraction from atrial fibrillation episodes based on maximum likelihood source separation. Signal Process. Francisco Castells, Jorge Igual, José Millet, José Joaquín Rieta
2005	J	`jnl`	Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts. Medical Biol. Eng. Comput. Francisco Castells, Cibeles Mora, José Joaquín Rieta, David Moratal-Pérez, José Millet
2005	J	`jnl`	Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans. Biomed. Eng. Francisco Castells, José Joaquín Rieta, José Millet, Vicente Zarzoso
2004	—	`conf`	A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures. ICA Juan Manuel Sanchis, José Joaquín Rieta, Francisco Castells, José Millet
2004	J	`jnl`	Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans. Biomed. Eng. José Joaquín Rieta, Francisco Castells, César Sánchez, Vicente Zarzoso, José Millet
2004	—	`conf`	Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration. ICA Juan Manuel Sanchis, Francisco Castells, José Joaquín Rieta
2004	—	`conf`	Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias. ICA Francisco Castells, Jorge Igual, Vicente Zarzoso, José Joaquín Rieta, José Millet
2004	—	`conf`	Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis. ICA José Joaquín Rieta, César Sánchez, Juan Manuel Sanchis, Francisco Castells, José Millet
2004	—	`conf`	Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes. ICA Francisco Castells, Cibeles Mora, José Millet, José Joaquín Rieta, César Sánchez, Juan Manuel Sanchis
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
2003	—	`conf`	Atrial fibrillation analysis based on ICA including statistical and temporal source information. ICASSP (5) Francisco Castells, Jorge Igual, José Joaquín Rieta, César Sánchez, José Millet