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Noninvasive prediction of catheter ablation acute outcome in persistent atrial fibrillation based on logistic regression of ECG fibrillatory wave amplitude and spatio-temporal variability., , , , and . EMBC, page 5821-5824. IEEE, (2013)Non-invasive prediction of catheter ablation outcome in persistent atrial fibrillation by exploiting the spatial diversity of surface ECG., , , , and . EMBC, page 5531-5534. IEEE, (2011)Enhanced block term decomposition for atrial activity extraction in atrial fibrillation ECG., , and . SAM, page 1-5. IEEE, (2016)Löwner-Based Tensor Decomposition for Blind Source Separation in Atrial Fibrillation ECGs., and . EUSIPCO, page 1-5. IEEE, (2019)Adaptive blind source separation for virtually any source probability density function., and . IEEE Trans. Signal Process., 48 (2): 477-488 (2000)On the Link Between L1-PCA and ICA., and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (3): 515-528 (2017)Atrial activity estimation from atrial fibrillation ECGs by blind source extraction based on a conditional maximum likelihood approach., , and . Medical Biol. Eng. Comput., 48 (5): 483-488 (2010)Blind Source Separation in Persistent Atrial Fibrillation Electrocardiograms Using Block-Term Tensor Decomposition With Löwner Constraints., , , and . IEEE J. Biomed. Health Informatics, 26 (4): 1538-1548 (2022)Parameter Estimation of a Mathematical Model Describing the Cardiovascular-Respiratory Interaction., , , and . CinC, page 617-620. www.cinc.org, (2015)WDM monitoring using blind signal separation based on higher-order statistics., , and . DSP, page 155-158. IEEE, (2002)