Publicaciones en colaboración con investigadores/as de University of Michigan–Ann Arbor (13)

2017

  1. 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

  2. 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

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

    Computing in Cardiology

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

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

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

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

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

    Computing in Cardiology

2015

  1. Atrial sources identification by causality analysis during atrial fibrillation

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2014

  1. Accuracy of inverse solution computation of dominant frequencies and phases during atrial fibrillation

    Computing in Cardiology

  2. Body surface localization of left and right atrial high-frequency rotors in atrial fibrillation patients: A clinical-computational study

    Heart Rhythm, Vol. 11, Núm. 9, pp. 1584-1591

  3. Non-invasive detection of reentrant drivers during atrial fibrillation: A clinical-computational study

    Computing in Cardiology

2013

  1. Non-invasive location of re-entrant propagation patterns during atrial fibrillation

    Computing in Cardiology

2012

  1. Identification of fibrillatory sources by measuring causal relationships

    Computing in Cardiology