Omer Berenfeld-rekin lankidetzan egindako argitalpenak (26)

2022

  1. Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response

    Frontiers in Physiology, Vol. 13

2021

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

    Frontiers in Physiology, Vol. 12

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

  5. Presence and stability of rotors in atrial fibrillation: Evidence and therapeutic implications

    Cardiovascular Research, Vol. 109, Núm. 4, pp. 480-492

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

  2. Frontiers in noninvasive cardiac mapping. Rotors in atrial fibrillation-body surface frequency-phase mapping

    Cardiac Electrophysiology Clinics, Vol. 7, Núm. 1, pp. 59-69

  3. Ventricular Tachycardia and Early Fibrillation in Patients with Brugada Syndrome and Ischemic Cardiomyopathy Show Predictable Frequency-Phase Properties on the Precordial ECG Consistent with the Respective Arrhythmogenic Substrate

    Circulation: Arrhythmia and Electrophysiology, Vol. 8, Núm. 5, pp. 1133-1143

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. Dominant Frequency and the Mechanisms of Initiation and Maintenance of Atrial Fibrillation

    Cardiac Electrophysiology: From Cell to Bedside: Sixth Edition (Elsevier Inc.), pp. 419-432

  4. 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

  2. Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping

    Circulation: Arrhythmia and Electrophysiology, Vol. 6, Núm. 2, pp. 294-301

2012

  1. High-rate pacing-induced atrial fibrillation effectively reveals properties of spontaneously occurring paroxysmal atrial fibrillation in humans

    Europace, Vol. 14, Núm. 11, pp. 1560-1566