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Analytical approaches for myocardial fibrillation signals., , , , , , , , , и 3 other автор(ы). Comput. Biol. Medicine, (2018)Influence of Left Atrial Geometry on Rotor Core Trajectories in a Model of Atrial Fibrillation., , , , , , , и . CinC, стр. 481-484. www.cinc.org, (2015)The Effects of Electrode Configuration on Omnipolar Electrograms: An In-Silico Approach., , , , , , , , и . CinC, стр. 1-4. IEEE, (2022)A Novel Method for Quantifying Localised Correlation of Late-Gadolinium Intensity with Conduction Velocity., , , , , , , и . CinC, стр. 193-196. www.cinc.org, (2014)Development of an automaton model of rotational activity driving atrial fibrillation., , , , и . Comput. Biol. Medicine, (2017)Electrogram-based Estimation of Myocardial Conduction Using Deep Neural Networks., , , , , , , , и . CinC, стр. 1-4. IEEE, (2022)Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas., , , , , , и . STACOM/CESC, том 6364 из Lecture Notes in Computer Science, стр. 134-143. Springer, (2010)Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD., , , , , и . IEEE Trans. Biomed. Eng., 69 (7): 2390-2400 (2022)Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling., , , , , , , , и . CoRR, (2018)Classification of Fibrillation Subtypes with Single-Channel Surface Electrocardiogram., , , и . UKCI, том 1043 из Advances in Intelligent Systems and Computing, стр. 472-479. Springer, (2019)