Genetic algorithm-based personalized models of human cardiac action potential
Genetic algorithm-based personalized models of human cardiac action potential
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
We present a novel modification of genetic algorithm (GA) which determines personalized parameters of cardiomyocyte electrophysiology model based on set of experimental human action potential (AP) recorded at different heart rates. In order to find the steady state solution, the optimized algorithm performs simultaneous search in the parametric and...
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Full title
Genetic algorithm-based personalized models of human cardiac action potential
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TN_cdi_plos_journals_2401057663
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2401057663
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0231695
