Biomedical Engineering Reference
In-Depth Information
nization methods and asymptotic expansions. The models of cardiac tissue include
the anisotropic Bidomain and Monodomain models, as well as the Eikonal and vari-
ous relaxed approximations, while the ionic cellular models include Luo-Rudy-type
models as well as simpler FitzHugh-Nagumo variants. We have also presented ad-
vanced numerical methods for discretizing and solving numerically these complex
models on three-dimensional domains, using adaptive and parallel techniques. The
resulting solvers are able to reproduce complete normal heartbeat phenomena in
large ventricular volumes accurately, simulating e.g. various potential waveforms,
activation and recovery fronts, and action potential dispersion. The solvers can also
simulate re-entry phenomena such as spiral and scroll waves, their breakup and the
transition to electrical turbulence. In this work, we have applied the parallel Bido-
main solver to study the three-dimensional details of the mechanisms of cardiac exci-
tation elicited by unipolar extracellular stimuli of anodal type, yielding new insights
on the origin of excitation based on the virtual electrode polarization. Current work
is investigating the role of inhomogeneities of the tissue and heterogeneity of the
cellular membrane properties, due e.g. to ischemia, and the coupling of electrocar-
diological models with mechanical and fluid dynamic models, with the future goal
of integrating them with cardiovascular and circulatory models.
Acknowledgements. The authors would like to thank Bruno Taccardi for introducing them to the
field of Mathematical Physiology and for many stimulating discussions.
References
[1] Aliev R.R., Panfilov A.V.: A simple two-variable model of cardiac excitation. Chaos Sol.
Fract. 7 : 293-301, 1996.
[2] Ambrosio L., Colli Franzone P., Savare G.: On the asymptotic behaviour of anisotropic
energies arising in the cardiac bidomain model. Interface Free Bound. 2 (3): 213-266, 2000.
[3] Austin T.M., Trew M.L., Pullan A.J.: Solving the cardiac Bidomain equations for discon-
tinuous conductivities. IEEE Trans. Biomed. Eng. 53 (7): 1265-1272, 2005.
[4] Balay S., Buschelman K., Gropp W.D., Kaushik D., Knepley M., Curfman McInnes L.,
Smith B.F., Zhang H.: PETSc Users Manual.Tech. Rep. ANL-95/11 - Revision 2.1.5, Ar-
gonne National Laboratory, 2002.
[5] Bassetti F.: Variable time-step discretization of degenerate evolution equations in Banach
space. Numer. Funct. Anal. Optim. 24 (3-4): 391-426, 2003.
[6] Belhamadia Y.: A Time-Dependent Adaptive Remeshing for Electrical Waves of the Heart.
IEEE Tran. Biomed. Eng. 55 (2): 443-452, 2008.
[7] Belhamadia Y., Fortin A., Bourgault Y.: Towards accurate numerical method for mon-
odomain models using a realistic heart geometry. Math. Biosci. 220 (2): 89-101, 2009.
[8] Bellettini G., Colli Franzone P., Paolini M.: Convergence of front propagation for
anisotropic bistable reaction-diffusion equations. Asymp. Anal. 15 : 325-358, 1997.
[9] Bellettini G., Paolini M.: Anisotropic motion by mean curvature in the context of Finsler
geometry. Hokkaido Math. J. 25 : 537-566, 1996.
[10] Bendahmane M., Karlsen K.H.: Analysis of a class of degenerate reaction-diffusion systems
and the bidomain model of cardiac tissue. Netw. Heterog. Media 1 (1): 185-218, 2006.
[11] Bendahmane M., Karlsen K.H.: Convergence of a finite volume scheme for the bidomain
model of cardiac tissue. Appl. Numer. Math. 59 (9): 2266-2284, 2009.
Search WWH ::




Custom Search