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1.
Cycle length statistics during human atrial fibrillation reveal refractory properties of the underlying substrate: a combined in silico and clinical test of concept study.
Europace
; 23(23 Suppl 1): i133-i142, 2021 03 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-33751084
2.
CVAR-Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution.
Front Physiol
; 12: 673047, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34108887
3.
Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.
Front Physiol
; 12: 699291, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34290623
4.
The openCARP simulation environment for cardiac electrophysiology.
Comput Methods Programs Biomed
; 208: 106223, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34171774
5.
Specific Electrogram Characteristics Identify the Extra-Pulmonary Vein Arrhythmogenic Sources of Persistent Atrial Fibrillation - Characterization of the Arrhythmogenic Electrogram Patterns During Atrial Fibrillation and Sinus Rhythm.
Sci Rep
; 10(1): 9147, 2020 06 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-32499483
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