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José Joaquín Rieta
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2020 – today
- 2024
- [j40]Álvaro Huerta
, Arturo Martínez-Rodrigo
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots. Biomed. Signal Process. Control. 91: 105920 (2024) - [j39]Pilar Escribano
Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis. Entropy 26(1): 28 (2024) - [j38]Aikaterini Vraka
A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring. Sensors 24(1): 141 (2024) - 2023
- [j37]Álvaro Huerta
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation. IEEE Access 11: 106126-106140 (2023) - [c65]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: 1-4 - [c64]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: 1-4 - [c63]Daniele Padovano
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection. CinC 2023: 1-4 - [c62]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: 1-4 - [c61]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: 1-4 - [c60]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: 1-4 - 2022
- [j36]Daniele Padovano
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning. IEEE Access 10: 92710-92725 (2022) - [j35]Emanuela Finotti
Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation. Entropy 24(9): 1261 (2022) - [j34]Aikaterini Vraka
Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation. Sensors 22(1): 290 (2022) - [j33]Diego I. Osorio
An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation. Sensors 22(14): 5345 (2022) - [c59]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: 1-4 - [c58]Jesús Cano, Lorenzo Fácia, Fernando Hornero, Philip Langley, Raúl Alcaraz, José Joaquín Rieta:
Cuffless Hypertension Risk Assessment and the Significance of Calibration. CinC 2022: 1-4 - [c57]Pilar Escribano, Juan Ródenas
Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation. CinC 2022: 1-4 - [c56]Daniele Padovano
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection. CinC 2022: 1-4 - [c55]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: 1-4 - [c54]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: 1-4 - 2021
- [j32]Raúl Alcaraz, Arturo Martínez-Rodrigo
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems. IEEE Trans. Learn. Technol. 14(5): 590-603 (2021) - [c53]Jesús Cano, Vicente Bertomeu-González
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers. CinC 2021: 1-4 - [c52]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: 1-4 - [c51]Álvaro Huerta
ECG Quality Assessment via Deep Learning and Data Augmentation. CinC 2021: 1-4 - [c50]Aikaterini Vraka, Vicente Bertomeu-González
Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation. CinC 2021: 1-4 - 2020
- [j31]Aikaterini Vraka
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate. Entropy 22(2): 232 (2020) - [j30]Álvaro Huerta Herraiz
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy 22(7): 733 (2020) - [j29]Eva M. Cirugeda-Roldán
Multi-scale Entropy Evaluates the Proarrhythmic Condition of Persistent Atrial Fibrillation Patients Predicting Early Failure of Electrical Cardioversion. Entropy 22(7): 748 (2020) - [j28]Raúl Alcaraz
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems. IEEE Trans. Educ. 63(3): 144-154 (2020) - [c49]Eva M. Cirugeda-Roldán
Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation. CinC 2020: 1-4 - [c48]Eva M. Cirugeda-Roldán
Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation. CinC 2020: 1-4 - [c47]Eva M. Cirugeda-Roldán
Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation. CinC 2020: 1-4 - [c46]Pilar Escribano
Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation. CinC 2020: 1-4 - [c45]Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Vicente Bertomeu-González
Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features. CinC 2020: 1-4 - [c44]Emanuela Finotti, Edward J. Ciaccio, Hasan Garan, Fernando Hornero, Raúl Alcaraz
Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation. CinC 2020: 1-4 - [c43]Álvaro Huerta
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings. CinC 2020: 1-4 - [c42]Álvaro Huerta
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs. CinC 2020: 1-4 - [c41]Álvaro Huerta
Comparative Study of Convolutional Neural Networks for ECG Quality Assessment. CinC 2020: 1-4 - [c40]Daniele Padovano
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge. CinC 2020: 1-4 - [c39]Juan Ródenas
Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation. CinC 2020: 1-4 - [c38]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: 1-4 - [c37]Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz
Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm. CinC 2020: 1-4
2010 – 2019
- 2018
- [j27]Beatriz Chicote
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. Entropy 20(8): 591 (2018) - [c36]Miguel Martínez
Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms. CinC 2018: 1-4 - [c35]Juan Ródenas
An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms. CinC 2018: 1-4 - 2017
- [j26]Juan Ródenas
Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation. Complex. 2017: 2163610:1-2163610:13 (2017) - [c34]Raúl Alcaraz
Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation. CinC 2017 - [c33]Manuel García
Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms. CinC 2017 - [c32]Francisco González, Raúl Alcaraz
Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection. CinC 2017 - [c31]Francisco González, Raúl Alcaraz
The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings. CinC 2017 - [c30]Miguel Martínez
Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation. CinC 2017 - [c29]Miguel Martínez
Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms. CinC 2017 - [c28]Diego I. Osorio, Raúl Alcaraz
Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms. CinC 2017 - [c27]Diego I. Osorio, Raúl Alcaraz
A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation. CinC 2017 - 2016
- [j25]Manuel García
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation. Comput. Methods Programs Biomed. 131: 157-168 (2016) - [j24]Beatriz Chicote
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. Entropy 18(9): 313 (2016) - 2015
- [j23]Raúl Alcaraz
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation. Comput. Methods Programs Biomed. 119(2): 110-119 (2015) - [j22]Juan Ródenas
Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms. Entropy 17(9): 6179-6199 (2015) - [c26]Jorge Felix, Raúl Alcaraz
Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation. CinC 2015: 45-48 - [c25]Jorge Felix, Vincent Jacquemet, Raúl Alcaraz
Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation. CinC 2015: 49-52 - [c24]Raúl Alcaraz
Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome. CinC 2015: 489-492 - [c23]Raúl Alcaraz
The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction. CinC 2015: 493-496 - 2014
- [j21]Matilde Julián
Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation. Comput. Biol. Medicine 48: 66-76 (2014) - 2013
- [j20]José Joaquín Rieta
Advances in modeling and characterization of atrial arrhythmias. Biomed. Signal Process. Control. 8(6): 956-957 (2013) - [j19]Raúl Alcaraz
Nonlinear synchronization assessment between atrial and ventricular activations series from the surface ECG in atrial fibrillation. Biomed. Signal Process. Control. 8(6): 1000-1007 (2013) - [j18]Jorge Mateo Satos, José Joaquín Rieta
Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation. Comput. Biol. Medicine 43(2): 154-163 (2013) - [j17]Arturo Martínez-Rodrigo, Raúl Alcaraz
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings. Comput. Methods Programs Biomed. 109(3): 283-292 (2013) - [c22]Antonio Hernández, Raúl Alcaraz, Fernando Hornero, José Joaquín Rieta:
Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome. CinC 2013: 723-726 - [c21]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: 727-730 - [c20]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: 1039-1042 - [c19]Matilde Julián, Raúl Alcaraz, José Joaquín Rieta:
Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG. CinC 2013: 1199-1202 - 2012
- [j16]Raúl Alcaraz
Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG. Comput. Math. Methods Medicine 2012: 245213:1-245213:9 (2012) - 2011
- [j15]Raúl Alcaraz
Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings. IEEE Trans. Biomed. Eng. 58(5): 1441-1449 (2011) - [c18]Raúl Alcaraz
Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation. EMBC 2011: 1467-1470 - [c17]Arturo Martínez-Rodrigo, Raúl Alcaraz
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis. EMBC 2011: 4693-4696 - [c16]Raúl Alcaraz
Validation of surface atrial fibrillation organization indicators through invasive recordings. EMBC 2011: 5519-5522 - [c15]Jorge Mateo Satos, Ana M. Torres, José Joaquín Rieta
An efficient method for ectopic beats cancellation based on radial basis function. EMBC 2011: 6947-6950 - 2010
- [j14]Raúl Alcaraz
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms. Biomed. Signal Process. Control. 5(1): 1-14 (2010) - [j13]Raúl Alcaraz
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis. Comput. Methods Programs Biomed. 99(1): 124-132 (2010) - [c14]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: 373-376 - [c13]Raúl Alcaraz, José Joaquín Rieta:
Wavelet Sample Entropy Optimization through Optimal Mother Function Selection for Atrial Fibrillation Analysis. BIOSIGNALS 2010: 389-392 - [c12]Raúl Alcaraz, José Joaquín Rieta:
Assessment of Noise Impact in Sample Entropy for the Non-invasive Organization Estimation of Atrial Fibrillation. BIOSIGNALS 2010: 393-396
2000 – 2009
- 2009
- [j12]Raúl Alcaraz
Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination. Comput. Biol. Medicine 39(8): 697-706 (2009) - [j11]Raúl Alcaraz
Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation. Comput. Methods Programs Biomed. 93(2): 148-154 (2009) - [j10]Carlos Vayá, José Joaquín Rieta
Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation. Medical Biol. Eng. Comput. 47(7): 687-696 (2009) - [j9]Raúl Alcaraz
Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion. Medical Biol. Eng. Comput. 47(12): 1247-1255 (2009) - 2008
- [j8]Raúl Alcaraz
A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation. Medical Biol. Eng. Comput. 46(7): 625-635 (2008) - 2007
- [j7]Roberto Sanz-Requena
Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies. Comput. Medical Imaging Graph. 31(2): 71-80 (2007) - [j6]Carlos Vayá, José Joaquín Rieta
Convolutive Blind Source Separation Algorithms Applied to the Electrocardiogram of Atrial Fibrillation: Study of Performance. IEEE Trans. Biomed. Eng. 54(8): 1530-1533 (2007) - [c11]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: 377-386 - 2006
- [j5]Philip Langley, José Joaquín Rieta
Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation. IEEE Trans. Biomed. Eng. 53(2): 343-346 (2006) - [c10]José Joaquín Rieta
Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation. ICA 2006: 478-485 - [c9]César Sánchez, José Joaquín Rieta
Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis. ICA 2006: 486-494 - [c8]Carlos Vayá, José Joaquín Rieta
Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation. ICA 2006: 495-502 - 2005
- [j4]Francisco Castells, Cibeles Mora, José Joaquín Rieta
Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts. Medical Biol. Eng. Comput. 43(5): 557-560 (2005) - [j3]Francisco Castells
Atrial activity extraction from atrial fibrillation episodes based on maximum likelihood source separation. Signal Process. 85(3): 523-535 (2005) - [j2]Francisco Castells
Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans. Biomed. Eng. 52(2): 258-267 (2005) - 2004
- [j1]José Joaquín Rieta
Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans. Biomed. Eng. 51(7): 1176-1186 (2004) - [c7]Francisco Castells
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias. ICA 2004: 18-25 - [c6]Juan Manuel Sanchis, Francisco Castells, José Joaquín Rieta
Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration. ICA 2004: 816-823 - [c5]José Joaquín Rieta
Mixing Matrix Pseudostationarity and ECG Preprocessing Impact on ICA-Based Atrial Fibrillation Analysis. ICA 2004: 1079-1086 - [c4]César Sánchez, José Joaquín Rieta
Wavelet Domain Blind Signal Separation to Analyze Supraventricular Arrhythmias from Holter Registers. ICA 2004: 1111-1117 - [c3]Juan Manuel Sanchis, José Joaquín Rieta
A New Auditory-Based Index to Evaluate the Blind Separation Performance of Acoustic Mixtures. ICA 2004: 1118-1125 - [c2]Francisco Castells
Multidimensional ICA for the Separation of Atrial and Ventricular Activities from Single Lead ECGs in Paroxysmal Atrial Fibrillation Episodes. ICA 2004: 1229-1236 - 2003
- [c1]Francisco Castells
Atrial fibrillation analysis based on ICA including statistical and temporal source information. ICASSP (5) 2003: 93-96
Coauthor Index
[j40] [j39] [j38] [j37] [c65] [c64] [c63] [c62] [c61] [c60] [j36] [j35] [j34] [j33] [c59] [c58] [c57] [c56] [c55] [c54] [j32] [c53] [c52] [c51] [c50] [j31] [j30] [j29] [j28] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [j27] [c36] [c35] [j26] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j25] [j24] [j23] [j22] [c26] [c25] [c24] [c23] [j21] [j19] [j17] [c22] [c21] [c20] [c19] [j16] [j15] [c18] [c17] [c16] [j14] [j13] [c14] [c13] [c12] [j12] [j11] [j9] [j8] [c4]
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