Title :
An Efficient Numerical Technique for the Solution of the Monodomain and Bidomain Equations
Author_Institution :
Comput. Lab., Oxford Univ.
Abstract :
Most numerical schemes for solving the monodomain or bidomain equations use a forward approximation to some or all of the time derivatives. This approach, however, constrains the maximum timestep that may be used by stability considerations as well as accuracy considerations. Stability may be ensured by using a backward approximation to all time derivatives, although this approach requires the solution of a very large system of nonlinear equations at each timestep which is computationally prohibitive. In this paper we propose a semi-implicit algorithm that ensures stability. A linear system is solved on each timestep to update the transmembrane potential and, if the bidomain equations are being used, the extracellular potential. The remainder of the equations to be solved uncouple into small systems of ordinary differential equations. The backward Euler method may be used to solve these systems and guarantee numerical stability: as these systems are small, only the solution of small nonlinear systems are required. Simulations are carried out to show that the use of this algorithm allows much larger timesteps to be used with only a minimal loss of accuracy. As a result of using these longer timesteps the computation time may be reduced substantially
Keywords :
bioelectric potentials; biomembranes; cardiology; cellular biophysics; differential equations; physiological models; backward Euler method; bidomain equations; efficient numerical technique; extracellular potential; linear system; monodomain equations; nonlinear equations; ordinary differential equations; semiimplicit algorithm; transmembrane potential; Computational modeling; Couplings; Differential equations; Heart; Linear systems; Nonlinear equations; Nonlinear systems; Numerical stability; Partial differential equations; Spatial resolution; Bidomain; cardiac; monodomain; Action Potentials; Algorithms; Animals; Body Surface Potential Mapping; Computer Simulation; Heart Conduction System; Humans; Membrane Potentials; Models, Cardiovascular; Myocytes, Cardiac; Numerical Analysis, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.879425