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

• 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: local activation time; lat; tension development; active stress; human cardiomyocytes; computational model; whole heart simulation
• Online Access: https://doi.org/10.1515/cdbme-2018-0060

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