Considering New Regularization Parameter-Choice Techniques for the Tikhonov Method to Improve the Accuracy of Electrocardiographic Imaging
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DOI: 10.3389/fphys.2019.00273
Abstract: The electrocardiographic imaging (ECGI) inverse problem highly relies on adding constraints, a process called regularization, as the problem is ill-posed. When there are no prior information provided about the unknown epicardial potentials, the Tikhonov regularization… read more here.
Keywords: regularization parameter; electrocardiographic imaging; parameter choice; regularization ... See more keywords