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Physiology-based Regularization Improves Noninvasive Reconstruction and Localization of Cardiac Electrical Activity., , , , and . CinC, page 1-4. www.cinc.org, (2014)Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials., , , , , and . CinC, page 369-372. www.cinc.org, (2013)Symbolic computation of Fisher information matrices for parametrized state-space systems., and . Automatica, 35 (6): 1059-1071 (1999)Physiology-based regularization of the electrocardiographic inverse problem., , , , , and . Med. Biol. Engineering and Computing, 55 (8): 1353-1365 (2017)Determinants of Beat-to-Beat Variability of Repolarization Duration in the Canine Ventricular Myocyte: A Computational Analysis., , , , , , and . PLoS Computational Biology, (2013)Polynomial optimization and a Jacobi-Davidson type method for commuting matrices., , and . Applied Mathematics and Computation, (2013)Implementing Wavelets in Continuous-Time Analog Circuits With Dynamic Range Optimization., , , , , and . IEEE Trans. on Circuits and Systems, 59-I (2): 229-242 (2012)Efficiency improvement in an nD systems approach to polynomial optimization., , and . J. Symb. Comput., 42 (1-2): 30-53 (2007)A Novel P-wave Duration Estimation Method to Assess the Impact of the Hybrid Procedure for Atrial Fibrillation Ablation., , , , and . CinC, page 813-816. www.cinc.org, (2014)Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction., , , and . EMBC, page 4495-4498. IEEE, (2015)