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Slow Conduction Regions as a Valuable Vectorcardiographic Parameter for the Non-Invasive Identification of Atrial Flutter Types.

, , , , , , , and . CinC, page 1-4. IEEE, (2020)

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Characterization of typical and atypical atrial flutter loops from the vectorcardiogram., , , , , and . EMBC, page 4976-4979. IEEE, (2011)Analysis of Atrial Fibrillation Dynamics in Body Surface Potential Maps and Electrocardiographic Imaging., , , , , and . CinC, page 1-4. IEEE, (2022)Machine Learning Approach and Waves Synchronization Improvement for the Localization of Atrial Flutter Circuit Based on the 12-leads ECG., , and . CinC, page 1-4. IEEE, (2019)Non-Invasive Localization of Atrial Flutter Circuit Using Recurrence Quantification Analysis and Machine Learning., , , and . CinC, page 1-4. IEEE, (2019)Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation., , , , , , , , and . CinC, www.cinc.org, (2017)Autonomic Nervous System Effects on the Atrioventricular Conduction Time - Heart Period Relationship During Physical Exercise and Passive Recovery., , , and . CinC, page 1-4. www.cinc.org, (2018)Multidimensional characterization of fibrillatory wave amplitude on surface ECG to describe catheter ablation impact on persistent atrial fibrillation., , , , and . EMBC, page 617-620. IEEE, (2012)T waves segmentation and analysis using inverse normalized integrals., , , and . EMBC, page 4701-4704. IEEE, (2011)Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone., , , , , , , and . Comput. Methods Programs Biomed., (2021)Joint Entropy for Spatial Information Retrieval from Orthogonal Heart Planes Improves Catheter Ablation Outcome Prediction in Persistent Atrial Fibrillation., , , , and . CinC, page 901-904. www.cinc.org, (2014)