A reformulated six-variable model of a single human ventricular cell was 4.9 times faster for numerical computations and more stable than the original Priebe-Beuckelmann model.
A new computationally efficient six-variable model of human ventricular cells allows for faster and stable simulations of reentrant arrhythmias.
Recent experimental and theoretical results have stressed the importance of modeling studies of reentrant arrhythmias in cardiac tissue and at the whole heart level. We introduce a six-variable model obtained by a reformulation of the Priebe-Beuckelmann model of a single human ventricular cell. The reformulated model is 4.9 times faster for numerical computations and it is more stable than the original model. It retains the action potential shape at various frequencies, restitution of action potential duration, and restitution of conduction velocity. We were able to reproduce the main properties of epicardial, endocardial, and M cells by modifying selected ionic currents. We performed a simulation study of spiral wave behavior in a two-dimensional sheet of human ventricular tissue and showed that spiral waves have a frequency of 3.3 Hz and a linear core of ∼50-mm diameter that rotates with an average frequency of 0.62 rad/s. Simulation results agreed with experimental data. In conclusion, the proposed model is suitable for efficient and accurate studies of reentrant phenomena in human ventricular tissue.
Bernus et al. (2002) studied Reentrant arrhythmias. Reformulated six-variable model vs. Original Priebe-Beuckelmann model was evaluated on Computational efficiency and stability. A reformulated six-variable model of a single human ventricular cell was 4.9 times faster for numerical computations and more stable than the original Priebe-Beuckelmann model.