Effects of local activation times on the tension development of human cardiomyocytes in a computational model

The human heart is an organ of high complexity and hence, very challenging to simulate. To calculate the force developed by the human heart and therefore the tension of the muscle fibers, accurate models are necessary. The force generated by the cardiac muscle has physiologically imposed limits and...

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Main Authors: Müller Armin, Kovacheva Ekaterina, Schuler Steffen, Dössel Olaf, Baron Lukas
Format: Article
Language:English
Published: De Gruyter 2018-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2018-0026
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author Müller Armin
Kovacheva Ekaterina
Schuler Steffen
Dössel Olaf
Baron Lukas
author_facet Müller Armin
Kovacheva Ekaterina
Schuler Steffen
Dössel Olaf
Baron Lukas
author_sort Müller Armin
collection DOAJ
description The human heart is an organ of high complexity and hence, very challenging to simulate. To calculate the force developed by the human heart and therefore the tension of the muscle fibers, accurate models are necessary. The force generated by the cardiac muscle has physiologically imposed limits and depends on various characteristics such as the length, strain and the contraction velocity of the cardiomyocytes. Another characteristic is the activation time of each cardiomyocyte, which is a wave and not a static value for all cardiomyocytes. To simulate a physiologically correct excitation, the functionality of the cardiac simulation framework CardioMechanics was extended to incorporate inhomogeneous activation times. The functionality was then used to evaluate the effects of local activation times with two different tension models. The active stress generated by the cardiomyocytes was calculated by (i) an explicit function and (ii) an ode-based model. The results of the simulations showed that the maximum pressure in the left ventricle dropped by 2.3% for the DoubleHill model and by 5.3% for the Lumens model. In the right ventricle the simulations showed similar results. The maximum pressure in both the left and the right atrium increased using both models. Given that the simulation of the inhomogeneously activated cardiomyocytes increases the simulation time when used with the more precise Lumens model, the small drop in maximum pressure seems to be negligible in favor of a simpler simulation model.
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spelling doaj.art-63c7bb3e46c6407d8aab6a9a908725f92023-08-21T06:42:01ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-014110110410.1515/cdbme-2018-0026cdbme-2018-0026Effects of local activation times on the tension development of human cardiomyocytes in a computational modelMüller Armin0Kovacheva Ekaterina1Schuler Steffen2Dössel Olaf3Baron Lukas4Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131Karlsruhe, GermanyThe human heart is an organ of high complexity and hence, very challenging to simulate. To calculate the force developed by the human heart and therefore the tension of the muscle fibers, accurate models are necessary. The force generated by the cardiac muscle has physiologically imposed limits and depends on various characteristics such as the length, strain and the contraction velocity of the cardiomyocytes. Another characteristic is the activation time of each cardiomyocyte, which is a wave and not a static value for all cardiomyocytes. To simulate a physiologically correct excitation, the functionality of the cardiac simulation framework CardioMechanics was extended to incorporate inhomogeneous activation times. The functionality was then used to evaluate the effects of local activation times with two different tension models. The active stress generated by the cardiomyocytes was calculated by (i) an explicit function and (ii) an ode-based model. The results of the simulations showed that the maximum pressure in the left ventricle dropped by 2.3% for the DoubleHill model and by 5.3% for the Lumens model. In the right ventricle the simulations showed similar results. The maximum pressure in both the left and the right atrium increased using both models. Given that the simulation of the inhomogeneously activated cardiomyocytes increases the simulation time when used with the more precise Lumens model, the small drop in maximum pressure seems to be negligible in favor of a simpler simulation model.https://doi.org/10.1515/cdbme-2018-0026local activation timelattension developmentactive stresshuman cardiomyocytescomputational modelwhole heart simulation
spellingShingle Müller Armin
Kovacheva Ekaterina
Schuler Steffen
Dössel Olaf
Baron Lukas
Effects of local activation times on the tension development of human cardiomyocytes in a computational model
Current Directions in Biomedical Engineering
local activation time
lat
tension development
active stress
human cardiomyocytes
computational model
whole heart simulation
title Effects of local activation times on the tension development of human cardiomyocytes in a computational model
title_full Effects of local activation times on the tension development of human cardiomyocytes in a computational model
title_fullStr Effects of local activation times on the tension development of human cardiomyocytes in a computational model
title_full_unstemmed Effects of local activation times on the tension development of human cardiomyocytes in a computational model
title_short Effects of local activation times on the tension development of human cardiomyocytes in a computational model
title_sort effects of local activation times on the tension development of human cardiomyocytes in a computational model
topic local activation time
lat
tension development
active stress
human cardiomyocytes
computational model
whole heart simulation
url https://doi.org/10.1515/cdbme-2018-0026
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AT schulersteffen effectsoflocalactivationtimesonthetensiondevelopmentofhumancardiomyocytesinacomputationalmodel
AT dosselolaf effectsoflocalactivationtimesonthetensiondevelopmentofhumancardiomyocytesinacomputationalmodel
AT baronlukas effectsoflocalactivationtimesonthetensiondevelopmentofhumancardiomyocytesinacomputationalmodel