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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)

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A Contrast for Independent Component Analysis With Priors on the Source Kurtosis Signs., , and . IEEE Signal Process. Lett., (2008)Nonnegative matrix factorization for noninvasive prediction of catheter ablation outcome in persistent atrial fibrillation., , , , and . ICASSP, page 601-604. IEEE, (2012)Exploiting intracardiac and surface recording modalities for atrial signal extraction in atrial fibrillation., and . EMBC, page 6015-6018. IEEE, (2013)Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation., , , and . EMBC, page 105-108. IEEE, (2015)Parameter estimation in block term decomposition for noninvasive atrial fibrillation analysis.. CAMSAP, page 1-5. IEEE, (2017)A novel speech enhancement approach based on Singular Value Decomposition and Genetic Algorithm., , , and . SoCPaR, page 430-435. IEEE, (2010)Source Analysis and Selection Using Block Term Decomposition in Atrial Fibrillation., and . LVA/ICA, volume 10891 of Lecture Notes in Computer Science, page 46-56. Springer, (2018)Identification of Ablation Sites in Persistent Atrial Fibrillation Based on Spatiotemporal Dispersion of Electrograms Using Machine Learning., , , and . CinC, page 1-4. IEEE, (2020)Point Process Modeling of R-R Interval Dynamics during Atrial Fibrillation., , , , , and . CinC, page 1043-1046. www.cinc.org, (2013)Unified formulation of closed-form estimators for blind source separation in real instantaneous linear mixtures., and . ICASSP, page 3160-3163. IEEE, (2000)