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Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations.

, , , , , , , , , , , , and . IEEE Trans. Biomed. Eng., 64 (2): 310-318 (2017)

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Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform., , , , , , , and . IEEE Trans. Biomed. Eng., 62 (1): 296-302 (2015)Electrogram Coupling as a Measure of Local Conduction during Atrial Fibrillation., , , , , and . CinC, page 813-816. www.cinc.org, (2015)Recurrence quantification analysis applied to spatiotemporal pattern analysis in high-density mapping of human atrial fibrillation., , , , and . EMBC, page 7704-7707. IEEE, (2015)Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations., , , , , , , , , and 3 other author(s). IEEE Trans. Biomed. Eng., 64 (2): 310-318 (2017)Far-field effect in unipolar electrograms revisited: High-density mapping of atrial fibrillation in humans., , , , , and . EMBC, page 5680-5683. IEEE, (2015)Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction., , , , , , and . EMBC, page 6357-6360. IEEE, (2012)Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block., , , , , and . CinC, www.cinc.org, (2017)State Space Embedding of Atrial Electrograms to Detect Repetitive Conduction Patterns During Atrial Fibrillation., , , , and . EMBC, page 508-511. IEEE, (2021)