Abstract
The study of the electromechanical activity of the heart through computational models is important for the interpretation of several cardiac phenomena. However, computational models for this purpose can be computationally expensive. In this work, we present the simplified models at the cellular level which were able to qualitatively reproduce the cardiac electromechanical activity based on the contraction of myocytes. To create these models a parameter adjustment was performed via genetic algorithms. The proposed models with adjusted parameters presented satisfactory results for the reproduction of the active force of the heart with the advantage of being based on only two ordinary differential equations.
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Acknowledgments
This work was partially supported by the Brazilian National Council for Scientific and Technological Development (CNPq - under grant 153465/2018-2), the Foundation for Support of Research of the State of Minas Gerais, Brazil (FAPEMIG), Coordination for the Improvement of Higher Education Personnel, Brazil (CAPES) and Federal University of Juiz de Fora, Brazil (UFJF).
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Silva, J.G.R., Campos, R.S., Xavier, C.R., dos Santos, R.W. (2020). Simplified Models for Electromechanics of Cardiac Myocyte. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_14
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DOI: https://doi.org/10.1007/978-3-030-58799-4_14
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