[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Analysis of time-stepping methods for the monodomain model

  • Published:
Computational and Applied Mathematics Aims and scope Submit manuscript

Abstract

To a large extent, the stiffness of the bidomain and monodomain models depends on the choice of the ionic model, which varies in terms of complexity and realism. In this paper, we compare and analyze a variety of time-stepping methods: explicit or semi-implicit, operator splitting, exponential, and deferred correction methods. We compare these methods for solving the monodomain model coupled with three ionic models of varying complexity and stiffness: the phenomenological Mitchell–Schaeffer model, the more realistic Beeler–Reuter model, and the stiff and very complex ten Tuscher–Noble–Noble-Panfilov (TNNP) model. For each method, we derive absolute stability criteria of the spatially discretized monodomain model and verify that the theoretical critical time steps obtained closely match the ones in numerical experiments. We also verify that the numerical methods achieve an optimal order of convergence on the model variables and derived quantities (such as speed of the wave, depolarization time), and this in spite of the local non-differentiability of some of the ionic models. The efficiency of the different methods is also considered by comparing computational times for similar accuracy. Conclusions are drawn on the methods to be used to solve the monodomain model based on the model stiffness and complexity, measured, respectively, by the eigenvalues of the model’s Jacobian and the number of variables, and based on strict stability and accuracy criteria.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Ascher UM, Ruuth SJ, Wetton BTR (1995) Implicit-explicit methods for time-dependent partial differential equations. SIAM J Numer Anal 32(3):797–823

    MathSciNet  MATH  Google Scholar 

  • Beeler GW, Reuter H (1977) Reconstruction of the action potential of ventricular myocardial fibres. J Physiol 268:177–210

    Google Scholar 

  • Cain JW (2011) Taking math to heart: mathematical challenges in cardiac electrophysiology. Not AMS 58(4):542–549

    MathSciNet  MATH  Google Scholar 

  • Clayton R, Bernus O, Cherry E, Dierckx H, Fenton F, Mirabella L, Panfilov A, Sachse F, Seemann G, Zhang H (2011) Models of cardiac tissue electrophysiology: progress, challenges and open questions. Prog Biophys Mol Biol 104(1):22–48

    Google Scholar 

  • Ethier M, Bourgault Y (2008) Semi-implicit time-discretization schemes for the bidomain model. SIAM J Numer Anal 46(5):2443–2468

    MathSciNet  MATH  Google Scholar 

  • Guermond JL, Minev P (2015) High-order time stepping for the incompressible Navier–Stokes equations. SIAM J Sci Comput 37(6):A2656–A2681

    MathSciNet  MATH  Google Scholar 

  • Hairer E, Nørsett S, Wanner G (1993) Solving ordinary differential equations I: Nonstiff Problems. Springer Series in Comp. Math., vol. 8. Springer, New York

  • Hairer E, Wanner G (1996) Solving ordinary differential equations II: stiff problems and differential-algebraic problems. Springer Series in Comp. Math., vol. 14. Springer, New York

  • Hanslien M, Artebrant R, Tveito A, Lines GT, Cai X (2011) Stability of two time-integrators for the Aliev–Panfilov system. Int J Numer Anal Model 8(3):427–442

    MathSciNet  MATH  Google Scholar 

  • Hodgkin A, Huxley A (1952) A quantitative description of membrane current and its applications to conduction and excitation in nerves. J Physiol 117:500–544

    Google Scholar 

  • Keener J, Bogar K (1998) A numerical method for the solution of the bidomain equations in cardiac tissue. Chaos: An Interdisciplinary. J Nonlinear Sci 8(1):234–241

    MATH  Google Scholar 

  • Keener J, Sneyd J (2004) Mathematical Physiology. Springer, New York

    MATH  Google Scholar 

  • Kress W, Gustafsson B (2002) Deferred correction methods for initial boundary value problems. J Sci Comput 17(1–4):241–251

    MathSciNet  MATH  Google Scholar 

  • Marsh M, Torabi S, Spiteri R (2012) The secrets to the success of the Rush–Larsen method and its generalizations. IEEE Trans Biomed Eng 59(9):2506–2515

    Google Scholar 

  • Mitchell C, Schaeffer D (2003) A two-current model for the dynamics of cardiac membrane. Bull Math Biol 65:767–793

    MATH  Google Scholar 

  • Perego M, Veneziani A (2009) An efficient generalization of the Rush–Larsen method for solving electro-physiology membrane equations. Electron Trans Numer Anal 35:234–256

    MathSciNet  MATH  Google Scholar 

  • Puwal S, Roth B (2007) Forward Euler stability of the bidomain model of cardiac tissue. IEEE Trans Biomed Eng 54(5):951

    Google Scholar 

  • Report 84F0209X, Statistics Canada (2009) Mortality, summary list of causes. https://www150.statcan.gc.ca/n1/en/catalogue/84F0209X

  • Roy T (2015) Time-stepping methods in cardiac electrophysiology. Master’s thesis, University of Ottawa, Canada

  • Rush S, Larsen H (1978) A practical algorithm for solving dynamic membrane equations. IEEE Trans Biomed Eng 25(4):389–392

    Google Scholar 

  • Schroll H, Lines G, Tveito A (2007) On the accuracy of operator splitting for the monodomain model of electrophysiology. Int J Comput Math 84(6):871–885

    MathSciNet  MATH  Google Scholar 

  • Spiteri R, Dean R (2008) On the performance of an implicit-explicit Runge–Kutta method in models of cardiac electrical activity. IEEE Trans Biomed Eng 55(5):1488–1495

    Google Scholar 

  • Spiteri R, Dean R (2010) Stiffness analysis of cardiac electrophysiological models. Ann Biomed Eng 38:3592–3604

    Google Scholar 

  • Strang G (1968) On the construction and comparison of difference schemes. SIAM J Numer Anal 5:506–517

    MathSciNet  MATH  Google Scholar 

  • Sundnes J, Artebrant R, Skavhaug O, Tveito A (2009) A second-order algorithm for solving dynamic cell membrane equations. IEEE Trans Biomed Eng 56(10):2546–2548

    Google Scholar 

  • Sundnes J, Lines G, Cai, X, BN, Mardal KA, Tveito A (2006) Computing the electrical activity in the heart. Springer-Verlag, Berlin Heidelberg

  • The finite element code CHORAL (2020). http://cpierre1.perso.univ-pau.fr/ or alternatively at https://plmlab.math.cnrs.fr/cpierre1/choral

  • Torabi ZS, Marsh M, Sundnes J, Spiteri R (2014) Stable time integration suppresses unphysical oscillations in the bidomain model. Comput Phys 2:40

    Google Scholar 

  • Trangenstein J, Kim C (2004) Operator splitting and adaptive mesh refinement for the Luo–Rudy I model. J Comput Phys 196(2):645–679

    MathSciNet  MATH  Google Scholar 

  • ten Tusscher K, Noble D, Noble P, Panfilov A (2004) A model for human ventricular tissue. Am J Physiol Heart Circ Physiol 286:H1573–H1589

    Google Scholar 

  • Winslow R, Scollan D, Holmes A, Yung C, Zhang J, Jafri M (2000) Electrophysiological modeling of cardiac ventricular function: from cell to organ. Annu Rev Biomed Eng 2:119

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the University of Ottawa for graduate scholarships to the first author, and the Natural Science and Engineering Research Council (NSERC) of Canada for a research grant to the second author. Research exchanges between France and Canada were funded by a grant from the Agence Nationale de la Recherche of France (ANR project HR-CEM no. 13-MONU-0004-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yves Bourgault.

Additional information

Communicated by Jose Alberto Cuminato.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roy, T., Bourgault, Y. & Pierre, C. Analysis of time-stepping methods for the monodomain model. Comp. Appl. Math. 39, 230 (2020). https://doi.org/10.1007/s40314-020-01254-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-020-01254-z

Keywords

Mathematics Subject Classification

Navigation