Universidad Rey Juan Carlos-ko ikertzaileekin lankidetzan egindako argitalpenak (19)

2020

  1. Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation: Quality EGM Assessment for Reentry Identification

    Computers in Biology and Medicine, Vol. 117

  2. Electrophysiological effects of extracellular vesicles secreted by cardiosphere-derived cells: Unraveling the antiarrhythmic properties of cell therapies

    Processes, Vol. 8, Núm. 8

  3. Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation With Contact Mapping and Impact of Ablation

    Circulation. Arrhythmia and electrophysiology, Vol. 13, Núm. 3, pp. e007700

  4. Ranolazine-mediated attenuation of mechanoelectric feedback in atrial myocyte monolayers

    Frontiers in Physiology, Vol. 11

2019

  1. Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation

    Computing in Cardiology

  2. Clinical Characteristics and Electrophysiological Mechanisms Underlying Brugada ECG in Patients With Severe Hyperkalemia

    Journal of the American Heart Association, Vol. 8, Núm. 3, pp. e010115

  3. Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics

    Computing in Cardiology

  4. Optical imaging of voltage and calcium in isolated hearts: Linking spatiotemporal heterogeneities and ventricular fibrillation initiation

    PLoS ONE, Vol. 14, Núm. 5

  5. Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study

    Computers in Biology and Medicine, Vol. 104, pp. 319-328

  6. Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence

    Computing in Cardiology

2018

  1. Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality

    IEEE Transactions on Medical Imaging, Vol. 37, Núm. 3, pp. 733-740

2017

  1. Personalization of atrial fibrillation antiarrhythmic drug treatments: A population of models approach

    Computing in Cardiology

  2. Solving inaccuracies in the heart position and orientation for inverse solution by using electric information

    Computing in Cardiology

2016

  1. Balance between sodium and calcium currents underlying chronic atrial fibrillation termination: An in silico intersubject variability study

    Heart Rhythm, Vol. 13, Núm. 12, pp. 2358-2365

  2. Mechanism behind Hyperkalemic Brugada Phenocopy: A Computational Study

    2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43

  3. Mechanism behind hyperkalemic brugada phenocopy: A computational study

    Computing in Cardiology

  4. Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation

    2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43

  5. Noninvasive identification of atrial fibrillation drivers: Simulation and patient data evaluation

    Computing in Cardiology

2007

  1. Noninvasive assessment of the right ventricular filling pressure gradient

    Circulation, Vol. 116, Núm. 9, pp. 1015-1023