FELIPE
ATIENZA FERNÁNDEZ
Profesor asociado de Ciencias de la Salud
University of Michigan–Ann Arbor
Ann Arbor, Estados UnidosPublicacions en col·laboració amb investigadors/es de University of Michigan–Ann Arbor (33)
2022
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Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response
Frontiers in Physiology, Vol. 13
2021
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Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value
Frontiers in Physiology, Vol. 12
2020
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The p.P888L SAP97 polymorphism increases the transient outward current (Ito,f) and abbreviates the action potential duration and the QT interval
Scientific Reports, Vol. 10, Núm. 1
2019
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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
2017
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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
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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
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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
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Do self-management interventions work in patients with heart failure? An individual patient data meta-analysis
Circulation, Vol. 133, Núm. 12, pp. 1189-1198
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Highest Dominant Frequency and Rotor Positions are Stable Markers for Atrial Driver location in Non-invasive Mapping of Atrial Fibrillation
2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43
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Highest Dominant Frequency and rotor positions are stable markers for atrial driver location in non-invasive mapping of atrial fibrillation
Computing in Cardiology
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Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis
Annals of Biomedical Engineering, Vol. 44, Núm. 8, pp. 2364-2376
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Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation
2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43
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Noninvasive estimation of epicardial dominant high-frequency regions during atrial fibrillation
Journal of Cardiovascular Electrophysiology, Vol. 27, Núm. 4, pp. 435-442
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Noninvasive identification of atrial fibrillation drivers: Simulation and patient data evaluation
Computing in Cardiology
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Presence and stability of rotors in atrial fibrillation: Evidence and therapeutic implications
Cardiovascular Research, Vol. 109, Núm. 4, pp. 480-492
2015
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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
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Frontiers in noninvasive cardiac mapping. Rotors in atrial fibrillation-body surface frequency-phase mapping
Cardiac Electrophysiology Clinics, Vol. 7, Núm. 1, pp. 59-69
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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
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Accuracy of Inverse Solution Computation of Dominant Frequencies and Phases during Atrial Fibrillation
2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41
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Accuracy of inverse solution computation of dominant frequencies and phases during atrial fibrillation
Computing in Cardiology