Publicaciones en las que colabora con M. Rodrigo (29)

2021

  1. Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value

    Frontiers in Physiology, Vol. 12

  2. Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation

    Biomedical Signal Processing and Control, Vol. 64

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. 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

2019

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

    Computing in Cardiology

  2. Effects of Geometry in Atrial Fibrillation Markers Obtained with Electrocardiographic Imaging

    Computing in Cardiology

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

    Computing in Cardiology

  4. 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

  5. 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. Electrophysiological parameters in the electrical propagation during atrial fibrillation: A population of models study

    Computing in Cardiology

  2. Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational study

    Heart Rhythm, Vol. 14, Núm. 8, pp. 1224-1233

  3. Minimal configuration of body surface potential mapping for discrimination of left versus right dominant frequencies during atrial fibrillation

    PACE - Pacing and Clinical Electrophysiology, Vol. 40, Núm. 8, pp. 940-946

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

    Computing in Cardiology

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

    Computing in Cardiology

  6. Technical considerations on phase mapping for identification of atrial reentrant activity in direct-And inverse-computed electrograms

    Circulation: Arrhythmia and Electrophysiology, Vol. 10, Núm. 9

2016

  1. Corrigendum: Regularization techniques for ECG imaging during atrial fibrillation: A computational study [Front. Physiol., 7 (2016) 466]. DOI:10.3389/fphys.2016.00466

    Frontiers in Physiology

  2. Highest Dominant Frequency and rotor positions are stable markers for atrial driver location in non-invasive mapping of atrial fibrillation

    Computing in Cardiology

  3. Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis

    Annals of Biomedical Engineering, Vol. 44, Núm. 8, pp. 2364-2376

  4. Noninvasive estimation of epicardial dominant high-frequency regions during atrial fibrillation

    Journal of Cardiovascular Electrophysiology, Vol. 27, Núm. 4, pp. 435-442