Key result
A novel set of efficient computational methods for strongly coupled cardiac electromechanics showed a significant reduction in computational cost on a personalized left ventricular geometry.
The proposed computational methods significantly reduce the computational cost of simulating strongly coupled cardiac electromechanics, potentially facilitating their widespread use.
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Accelerates personalized LV electromechanics simulations; leaves open clinical validation and integration.
Strongly coupled cardiac electromechanical models can further our understanding of the relative importance of feedback mechanisms in the heart, but computational challenges currently remain a major obstacle, which limit their widespread use. To address this issue, we present a set of efficient computational methods including an efficient adaptive cell model integration scheme and a solution method for the monodomain equations that maintains high conduction velocity for time steps greater than 0.1 ms. We also present a novel method for increasing the efficiency of simulating electromechanical coupling, which shows a significant reduction in computational cost of the mechanical component on a personalized left ventricular geometry with an active contraction cell model reparametrized for human cells.
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Land et al. (2011) studied Cardiac electromechanics. Efficient computational methods (adaptive cell model integration and monodomain solution method) was evaluated on Computational cost and conduction velocity. A novel set of efficient computational methods for strongly coupled cardiac electromechanics showed a significant reduction in computational cost on a personalized left ventricular geometry.
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