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Accurate Characterization of Rotor Activity during Atrial Fibrillation Depends on the Properties of the Multielectrode Grid.

, , , , , , and . CinC, page 757-760. www.cinc.org, (2014)

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Non-invasive Detection of Reentrant Drivers during Atrial Fibrillation: a Clinical-Computational Study., , , , , , , , and . CinC, page 9-12. www.cinc.org, (2014)Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation., , , , , , , and . CinC, www.cinc.org, (2016)Effect of Multi-Electrode Configurations on Accuracy of Rotor Detection in the Atria., , , , , and . CinC, www.cinc.org, (2016)Accurate Characterization of Rotor Activity during Atrial Fibrillation Depends on the Properties of the Multielectrode Grid., , , , , , and . CinC, page 757-760. www.cinc.org, (2014)Are Multi-electrode Arrays Able to Differentiate Anatomical from Functional Reentries in an Excitable Sheet?, , , and . CinC, page 865-868. www.cinc.org, (2015)Highest Dominant Frequency and Rotor Sites are Robust Markers for Atrial Driver Location in Non-invasive Mapping of Atrial Fibrillation., , , , , , and . CinC, www.cinc.org, (2016)An Injectable 64 nW ECG Mixed-Signal SoC in 65 nm for Arrhythmia Monitoring., , , , , , , , , and 3 other author(s). J. Solid-State Circuits, 50 (1): 375-390 (2015)Factors affecting basket catheter detection of real and phantom rotors in the atria: A computational study., , , , , , , and . PLoS Computational Biology, (2018)Equilibration of scroll Wave Filaments in the Ventricular Wall and the Minimal Principle., , and . I. J. Bifurcation and Chaos, 13 (12): 3723-3731 (2003)Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings., , , , , , , and . Comp. in Bio. and Med., (2019)