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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)

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Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation., , , , , , , , 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)A novel framework for noninvasive analysis of short-term atrial activity dynamics during persistent atrial fibrillation., , , , , , , and . Medical Biol. Eng. Comput., 58 (9): 1933-1945 (2020)Body-Surface Atrial Vector Similarity as a New Way to Investigate Atrial Fibrillation Propagation Dynamics., , , , , , , and . CinC, page 1-4. IEEE, (2021)Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion., , , , , , , and . CinC, www.cinc.org, (2016)Body-Surface Atrial Signals Analysis Based on Spatial Frequency Distribution: Comparison Between Different Signal Transformations., , , , , , , and . CinC, page 1-4. IEEE, (2021)Use of Normalized Correlation Function to Discriminate Outcome of Persistent Patients Undergoing Electrical Cardioversion., , , , , , , and . CinC, page 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., , , and . CinC, page 879-882. www.cinc.org, (2013)