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Generation of realistic atrial to atrial interval series during atrial fibrillation.

, , , and . Medical Biol. Eng. Comput., 49 (11): 1261-1268 (2011)

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Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation., , , , , , , , , and . CinC, www.cinc.org, (2016)Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation., , , , , , , and . CinC, www.cinc.org, (2016)Generation of realistic atrial to atrial interval series during atrial fibrillation., , , and . Medical Biol. Eng. Comput., 49 (11): 1261-1268 (2011)Non-invasive Location of Re-entrant Propagation Patterns during Atrial Fibrillation., , , , , , , , and . CinC, page 1235-1238. www.cinc.org, (2013)Role of Substrate Flexibility on Cardiac Cell Culture Electrophysiological Properties., , , , , , and . CinC, www.cinc.org, (2016)Atrial sources identification by causality analysis during atrial fibrillation., , , , , , and . EMBC, page 3783-3786. IEEE, (2015)Risk stratification in heart failure using artificial neural networks., , , , and . AMIA, AMIA, (2000)Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation., , , , , , , , and . Comput. Biol. Medicine, (2020)Highest Dominant Frequency and Rotor Sites are Robust Markers for Atrial Driver Location in Non-invasive Mapping of Atrial Fibrillation., , , , , , and . CinC, www.cinc.org, (2016)Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics., , , , , , , , and . CinC, page 1-4. IEEE, (2019)