Article

Creation of data-driven low-order predictive cardiac excitation models at the tissue scale in augmented state space <sup>⋆</sup>

2023-05-19

Abstract excerpt

<h4>ABSTRACT</h4> The quick and easy creation of fast in-silico models of excitable media is, for instance, needed for patient-specific predictions in diagnostics and decision making in cardiac electrophysiology. We here present a model creation pipeline that not only generates new models quickly, but also only requires data from one easily measurable spatio-temporal variable. These data may, for instance, be an...

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Literature Corpus work: cfa6c22a-a4bd-5e15-8ae4-a00fc77820b6
DOI: 10.1101/2023.05.17.540314

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Creation of data-driven low-order predictive cardiac excitation models at the tissue scale in augmented state space <sup>⋆</sup>DOI 10.1101/2023.05.17.540314Read

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