José Joaquín Rieta

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 56

Top Venues

CinC

Entropy

Sensors

Comput. Methods Programs Biomed.

Publications

Álvaro Huerta, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots. Biomed. Signal Process. Control. 91 (2024)
Pilar Escribano, Juan Ródenas, Manuel García, Fernando Hornero, Juan M. Gracia-Baena, Raúl Alcaraz, José Joaquín Rieta
Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis. Entropy 26 (1) (2024)
Aikaterini Vraka, Roberto Zangróniz, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring. Sensors 24 (1) (2024)
Aikaterini Vraka, Juan M. Gracia-Baena, Flavia Ravelli, Philip Langley, Raúl Alcaraz, José Joaquín Rieta
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring. CinC (2023)
S. Mula, Roberto Zangróniz, José Joaquín Rieta, Raúl Alcaraz
Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals. CinC (2023)
Aikaterini Vraka, Vicente Bertomeu-González, Aurelio Quesada, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry. CinC (2023)
Álvaro Huerta, Arturo Martínez-Rodrigo, Davide Carneiro, Vicente Bertomeu-González, José Joaquín Rieta, Raúl Alcaraz
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation. IEEE Access 11 (2023)
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment. CinC (2023)
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection. CinC (2023)
Aikaterini Vraka, Lorenzo Fácila, Fernando Hornero, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis. CinC (2023)
Jesús Cano, Vicente Bertomeu-González, Lorenzo Fácia, José Moreno-Arribas, Raúl Alcaraz, José Joaquín Rieta
ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings. CinC (2022)
Aikaterini Vraka, José Moreno-Arribas, Juan M. Gracia-Baena, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta
Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation. CinC (2022)
Jesús Cano, Lorenzo Fácia, Fernando Hornero, Philip Langley, Raúl Alcaraz, José Joaquín Rieta
Cuffless Hypertension Risk Assessment and the Significance of Calibration. CinC (2022)
Pilar Escribano, Juan Ródenas, Manuel García, Miguel A. Arias, José Joaquín Rieta, Raúl Alcaraz
Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation. CinC (2022)
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection. CinC (2022)
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning. IEEE Access 10 (2022)
Diego I. Osorio, Aikaterini Vraka, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation. Sensors 22 (14) (2022)
Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Aurelio Quesada, Raúl Alcaraz, José Joaquín Rieta
Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation. Sensors 22 (1) (2022)
Emanuela Finotti, Aurelio Quesada, Edward J. Ciaccio, Hasan Garan, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation. Entropy 24 (9) (2022)
Aikaterini Vraka, Vicente Bertomeu-González, Leif Sörnmo, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation. CinC (2022)
Jesús Cano, Vicente Bertomeu-González, Lorenzo Fácila, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers. CinC (2021)
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
ECG Quality Assessment via Deep Learning and Data Augmentation. CinC (2021)
Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta
Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation. CinC (2021)
Jesús Cano, Fernando Hornero, Aurelio Quesada, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography. CinC (2021)
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems. IEEE Trans. Learn. Technol. 14 (5) (2021)
Antonio Ruiz, Miguel A. Arias, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz
Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features. CinC (2020)
Pilar Escribano, Juan Ródenas, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz
Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation. CinC (2020)
Álvaro Huerta Herraiz, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Aurelio Quesada, José Joaquín Rieta, Raúl Alcaraz
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy 22 (7) (2020)
Álvaro Huerta, Arturo Martínez-Rodrigo, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings. CinC (2020)
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs. CinC (2020)
Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz, José Joaquín Rieta
Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. CinC (2020)
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge. CinC (2020)
Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Vicente Bertomeu-González, Raúl Alcaraz, José Joaquín Rieta
Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features. CinC (2020)
Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta
Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation. CinC (2020)
Juan Ródenas, Pilar Escribano, Miguel Martinez-Iniesta, Manuel García, Fernando Hornero, José Joaquín Rieta, Raúl Alcaraz
Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation. CinC (2020)
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems. IEEE Trans. Educ. 63 (3) (2020)
Eva M. Cirugeda-Roldán, Sofía Calero, Aurelio Quesada, Víctor Manuel Hidalgo, José Joaquín Rieta, Raúl Alcaraz
Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation. CinC (2020)
Eva M. Cirugeda-Roldán, Sofía Calero, Víctor Manuel Hidalgo, José Enero, José Joaquín Rieta, Raúl Alcaraz
Multi-scale Entropy Evaluates the Proarrhythmic Condition of Persistent Atrial Fibrillation Patients Predicting Early Failure of Electrical Cardioversion. Entropy 22 (7) (2020)
Eva M. Cirugeda-Roldán, Sofía Calero, Víctor Manuel Hidalgo, José Enero, José Joaquín Rieta, Raúl Alcaraz
Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation. CinC (2020)
Álvaro Huerta, Arturo Martínez-Rodrigo, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz
Comparative Study of Convolutional Neural Networks for ECG Quality Assessment. CinC (2020)
Aikaterini Vraka, Fernando Hornero, Vicente Bertomeu-González, Joaquín Osca, Raúl Alcaraz, José Joaquín Rieta
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate. Entropy 22 (2) (2020)
Eva M. Cirugeda-Roldán, Sofía Calero, Eva Plancha, José Enero, José Joaquín Rieta, Raúl Alcaraz
Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation. CinC (2020)
Juan Ródenas, Manuel García, José Joaquín Rieta, Raúl Alcaraz
An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms. CinC (2018)
Miguel Martínez, Juan Ródenas, José Joaquín Rieta, Raúl Alcaraz
Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms. CinC (2018)
Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Raúl Alcaraz, José Joaquín Rieta, Iraia Isasi, Daniel Alonso, María del Mar Baqueriza, Karlos Ibarguren
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. Entropy 20 (8) (2018)
Francisco González, Raúl Alcaraz, José Joaquín Rieta
Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection. CinC (2017)
Diego I. Osorio, Raúl Alcaraz, José Joaquín Rieta
Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms. CinC (2017)
Francisco González, Raúl Alcaraz, José Joaquín Rieta
The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings. CinC (2017)
Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms. CinC (2017)
Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation. CinC (2017)
Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation. Complex. 2017 (2017)
Diego I. Osorio, Raúl Alcaraz, José Joaquín Rieta
A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation. CinC (2017)
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation. CinC (2017)
Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms. CinC (2017)
Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation. Comput. Methods Programs Biomed. 131 (2016)
Beatriz Chicote, Unai Irusta, Raúl Alcaraz, José Joaquín Rieta, Elisabete Aramendi, Iraia Isasi, Daniel Alonso Moreno, Karlos Ibarguren
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. Entropy 18 (9) (2016)
Jorge Felix, Raúl Alcaraz, José Joaquín Rieta
Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation. CinC (2015)
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation. Comput. Methods Programs Biomed. 119 (2) (2015)
Raúl Alcaraz, Fernando Hornero, Lorenzo Fácila, José Joaquín Rieta
Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome. CinC (2015)
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction. CinC (2015)
Jorge Felix, Vincent Jacquemet, Raúl Alcaraz, José Joaquín Rieta
Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation. CinC (2015)
Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta
Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms. Entropy 17 (9) (2015)
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation. Comput. Biol. Medicine 48 (2014)
Jorge Mateo Satos, José Joaquín Rieta
Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation. Comput. Biol. Medicine 43 (2) (2013)
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG. CinC (2013)
Antonio Hernández, Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome. CinC (2013)
Antonio Hernández, Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge. CinC (2013)
Matilde Julián, Raúl Alcaraz, José Joaquín Rieta
Study on the Optimal Use of Generalized Hurst Exponents for Noninvasive Estimation of Atrial Fibrillation Organization. CinC (2013)
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings. Comput. Methods Programs Biomed. 109 (3) (2013)
Raúl Alcaraz, José Joaquín Rieta
Nonlinear synchronization assessment between atrial and ventricular activations series from the surface ECG in atrial fibrillation. Biomed. Signal Process. Control. 8 (6) (2013)
José Joaquín Rieta, Flavia Ravelli, Leif Sörnmo
Advances in modeling and characterization of atrial arrhythmias. Biomed. Signal Process. Control. 8 (6) (2013)
Raúl Alcaraz, José Joaquín Rieta
Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG. Comput. Math. Methods Medicine 2012 (2012)
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis. EMBC (2011)
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
Validation of surface atrial fibrillation organization indicators through invasive recordings. EMBC (2011)
Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta
Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation. EMBC (2011)
Raúl Alcaraz, Frida Sandberg, Leif Sörnmo, José Joaquín Rieta
Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings. IEEE Trans. Biomed. Eng. 58 (5) (2011)
Jorge Mateo Satos, Ana M. Torres, José Joaquín Rieta
An efficient method for ectopic beats cancellation based on radial basis function. EMBC (2011)
Carlos Vayá, José Joaquín Rieta, Raúl Alcaraz
Combination of Convolutive Blind Signal Separation and Wavelet Decomposition to Extract the Atrial Activity in Atrial Fibrillation. BIOSIGNALS (2010)
Raúl Alcaraz, José Joaquín Rieta
Wavelet Sample Entropy Optimization through Optimal Mother Function Selection for Atrial Fibrillation Analysis. BIOSIGNALS (2010)
Raúl Alcaraz, Daniel E. Abásolo, Roberto Hornero, José Joaquín Rieta
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis. Comput. Methods Programs Biomed. 99 (1) (2010)
Raúl Alcaraz, José Joaquín Rieta
Assessment of Noise Impact in Sample Entropy for the Non-invasive Organization Estimation of Atrial Fibrillation. BIOSIGNALS (2010)
Raúl Alcaraz, José Joaquín Rieta
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms. Biomed. Signal Process. Control. 5 (1) (2010)
Raúl Alcaraz, José Joaquín Rieta
Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation. Comput. Methods Programs Biomed. 93 (2) (2009)
Carlos Vayá, José Joaquín Rieta
Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation. Medical Biol. Eng. Comput. 47 (7) (2009)
Raúl Alcaraz, José Joaquín Rieta, Fernando Hornero
Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion. Medical Biol. Eng. Comput. 47 (12) (2009)
Raúl Alcaraz, José Joaquín Rieta
Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination. Comput. Biol. Medicine 39 (8) (2009)
Raúl Alcaraz, José Joaquín Rieta
A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation. Medical Biol. Eng. Comput. 46 (7) (2008)
Roberto Sanz-Requena, David Moratal, Diego Ramón García-Sánchez, Vicente Bodí, José Joaquín Rieta, Juan Manuel Sanchis
Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies. Comput. Medical Imaging Graph. 31 (2) (2007)
Carlos Vayá, José Joaquín Rieta, César Sánchez, David Moratal
Convolutive Blind Source Separation Algorithms Applied to the Electrocardiogram of Atrial Fibrillation: Study of Performance. IEEE Trans. Biomed. Eng. 54 (8) (2007)
Jorge Mateo Sotos, César Sánchez, Carlos Vayá, Raquel Cervigón Abad, José Joaquín Rieta
A Learning Based Widrow-Hoff Delta Algorithm for Noise Reduction in Biomedical Signals. IWINAC (1) (2007)
Philip Langley, José Joaquín Rieta, Martin Stridh, José Millet, Leif Sörnmo, Alan Murray
Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation. IEEE Trans. Biomed. Eng. 53 (2) (2006)
José Joaquín Rieta, Fernando Hornero, César Sánchez, Carlos Vayá, David Moratal, Juan Manuel Sanchis
Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation. ICA (2006)
Carlos Vayá, José Joaquín Rieta, César Sánchez, David Moratal
Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation. ICA (2006)
César Sánchez, José Joaquín Rieta, Carlos Vayá, David Moratal-Pérez, Roberto Zangróniz, José Millet
Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis. ICA (2006)
Francisco Castells, Jorge Igual, José Millet, José Joaquín Rieta
Atrial activity extraction from atrial fibrillation episodes based on maximum likelihood source separation. Signal Process. 85 (3) (2005)
Francisco Castells, Cibeles Mora, José Joaquín Rieta, David Moratal-Pérez, José Millet
Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts. Medical Biol. Eng. Comput. 43 (5) (2005)
Francisco Castells, José Joaquín Rieta, José Millet, Vicente Zarzoso
Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans. Biomed. Eng. 52 (2) (2005)
José Joaquín Rieta, César Sánchez, Juan Manuel Sanchis, Francisco Castells, José Millet
Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis. ICA (2004)
César Sánchez, José Joaquín Rieta, Francisco Castells, Raúl Alcaraz, José Millet
Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers. ICA (2004)
Francisco Castells, Jorge Igual, Vicente Zarzoso, José Joaquín Rieta, José Millet
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias. ICA (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

José Joaquín Rieta