Jose Joaquin Rieta
Jose Joaquin Rieta
Professor in Biomedical Engineering & CEO at UPV
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Atrial activity extraction for atrial fibrillation analysis using blind source separation
JJ Rieta, F Castells, C Sánchez, V Zarzoso, J Millet
IEEE Transactions on Biomedical Engineering 51 (7), 1176-1186, 2004
Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications
A Bollmann, D Husser, L Mainardi, F Lombardi, P Langley, A Murray, ...
Europace 8 (11), 911-926, 2006
A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms
R Alcaraz, JJ Rieta
Biomedical Signal Processing and Control 5 (1), 1-14, 2010
Application of the phasor transform for automatic delineation of single-lead ECG fiducial points
A Martínez, R Alcaraz, JJ Rieta
Physiological measurement 31 (11), 1467, 2010
Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias
F Castells, JJ Rieta, J Millet, V Zarzoso
IEEE transactions on biomedical engineering 52 (2), 258-267, 2005
Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms
R Alcaraz, JJ Rieta
Physiological measurement 29 (12), 1351, 2008
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis
R Alcaraz, D Abásolo, R Hornero, JJ Rieta
Computer methods and programs in biomedicine 99 (1), 124-132, 2010
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation
M García, J Ródenas, R Alcaraz, JJ Rieta
computer methods and programs in biomedicine 131, 157-168, 2016
Comparison of atrial signal extraction algorithms in 12-lead ECGs with atrial fibrillation
P Langley, JJ Rieta, M Stridh, J Millet, L Sornmo, A Murray
IEEE Transactions on Biomedical Engineering 53 (2), 343-346, 2006
Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts
F Castells, C Mora, JJ Rieta, D Moratal-Pérez, J Millet
Medical and biological Engineering and Computing 43, 557-560, 2005
Atrial activity extraction based on blind source separation as an alternative to QRST cancellation for atrial fibrillation analysis
JJ Rieta, V Zarzoso, J Millet-Roig, R García-Civera, R Ruiz-Granell
Computers in Cardiology 2000. Vol. 27 (Cat. 00CH37163), 69-72, 2000
Wavelet entropy automatically detects episodes of atrial fibrillation from single-lead electrocardiograms
J Ródenas, M García, R Alcaraz, JJ Rieta
Entropy 17 (9), 6179-6199, 2015
Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies
R Sanz-Requena, D Moratal, DR García-Sánchez, V Bodí, JJ Rieta, ...
Computerized Medical Imaging and Graphics 31 (2), 71-80, 2007
Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings
R Alcaraz, F Sandberg, L Sörnmo, JJ Rieta
IEEE Transactions on Biomedical Engineering 58 (5), 1441-1449, 2011
Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation
R Alcaraz, JJ Rieta
Medical engineering & physics 31 (8), 917-922, 2009
Noninvasive time and frequency predictors of long‐standing atrial fibrillation early recurrence after electrical cardioversion
R Alcaraz, F Hornero, JJ Rieta
Pacing and clinical electrophysiology 34 (10), 1241-1250, 2011
Comparative study of methods for ventricular activity cancellation in atrial electrograms of atrial fibrillation
JJ Rieta, F Hornero
Physiological measurement 28 (8), 925, 2007
Convolutive blind source separation algorithms applied to the electrocardiogram of atrial fibrillation: Study of performance
C Vayá, JJ Rieta, C Sánchez, D Moratal
IEEE Transactions on Biomedical Engineering 54 (8), 1530-1533, 2007
Packet wavelet decomposition: An approach for atrial activity extraction
C Sanchez, J Millet, JJ Rieta, F Castells, J Rodenas, R Ruiz-Granell, ...
Computers in Cardiology, 33-36, 2002
Application of entropy-based features to predict defibrillation outcome in cardiac arrest
B Chicote, U Irusta, R Alcaraz, JJ Rieta, E Aramendi, I Isasi, D Alonso, ...
Entropy 18 (9), 313, 2016
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