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Towards Standardization of Non-invasive Atrial Fibrillation Substrate Complexity Quantification: Effect of Choice of ECG-leads and Complexity Measure on Prediction of Pharmacological Cardioversion.

, , , and . CinC, page 879-882. www.cinc.org, (2013)

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Sparse Gene Regulatory Network Identification., and . KDECB, volume 4366 of Lecture Notes in Computer Science, page 171-182. Springer, (2006)Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion., , , , , , , and . CinC, www.cinc.org, (2016)Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block., , , , , and . CinC, www.cinc.org, (2017)Principal Component Analysis of Body Surface Potential Mapping in Atrial Fibrillation Patients Suggests Additional ECG Lead Locations., , , , and . CinC, page 893-896. www.cinc.org, (2014)Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation., , , , , , , , and . CinC, www.cinc.org, (2017)Measuring clinical pathway adherence., , and . Journal of Biomedical Informatics, 43 (6): 861-872 (2010)High Coverage and High-Resolution Mapping of Repetitive Patterns During Atrial Fibrillation., , , , , , and . CinC, page 1-4. IEEE, (2021)Body-Surface Atrial Vector Similarity as a New Way to Investigate Atrial Fibrillation Propagation Dynamics., , , , , , , and . CinC, page 1-4. IEEE, (2021)Acute Morphological Changes in P-Wave Morphology During Pulmonary Vein Isolation in Atrial Fibrillation Patients., , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Sleep Apnea Detection Directly from Unprocessed ECG through Singular Spectrum Decomposition., , , and . CinC, page 309-312. www.cinc.org, (2015)