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Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study., , , , , , и . CinC, стр. 1-4. IEEE, (2022)Principal Component Analysis of Body Surface Potential Mapping in Atrial Fibrillation Patients Suggests Additional ECG Lead Locations., , , , и . CinC, стр. 893-896. www.cinc.org, (2014)Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block., , , , , и . CinC, www.cinc.org, (2017)Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation., , , , , , , , и . CinC, www.cinc.org, (2017)Sparse Gene Regulatory Network Identification., и . KDECB, том 4366 из Lecture Notes in Computer Science, стр. 171-182. Springer, (2006)State Space Embedding of Atrial Electrograms to Detect Repetitive Conduction Patterns During Atrial Fibrillation., , , , и . EMBC, стр. 508-511. IEEE, (2021)Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation., , , , , , , , и . CinC, стр. 1-4. IEEE, (2022)Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion., , , , , , , и . CinC, www.cinc.org, (2016)Beat-to-beat P-wave Variability Increases From Paroxysmal to Persistent Atrial Fibrillation., , , , , , и . CinC, стр. 1-4. IEEE, (2020)Towards Standardization of Non-invasive Atrial Fibrillation Substrate Complexity Quantification: Effect of Choice of ECG-leads and Complexity Measure on Prediction of Pharmacological Cardioversion., , , и . CinC, стр. 879-882. www.cinc.org, (2013)