Abstract
The foremost premise for the success of noninvasive volumetric myocardial transmembrane (TMP) imaging from body surface potential (BSP) recordings is a realistic yet efficient electrocardiographic model which relates volumetric myocardial TMP distributions to BSP distributions. With a view towards the inverse problem, appropriate model simplifications should be emphasized to balance the accuracy of the model with the feasibility of the inversion. In this paper, we present a novel coupled meshfree-BEM platform to represent the combined heart-torso structure and derive the associated TMP-to-BSP models. The numerical accuracy and convergency of the presented approach is verified against analytic solutions on a synthetic geometry. The associated simplifications are justified by comparing models at different level of complexity, which further demonstrates the benefits of homogeneous torso assumption in the inverse problem. Initial simulation experiments on a realistic heart-torso structure further show the physiological plausibility of the presented approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Henriquez, C.S.: Simulating the electrical behaviour of cardiac tissue using the bidomain model. Crit. Rev. Biomed. Eng. 21, 1–77 (1993)
Fischer, G., Tilg, B., Wach, P., Lafter, G., Rucker, W.: Analytical validation of the bem-application of the bem to the electrocardiographic forward and inverse problem. Comput. Methods Programs Biomed. 55, 99–106 (1998)
Fischer, G., Tilg, B., Modre, R., Huiskamp, G.J.M., Fetzer, J., Rucker, W., Wach, P.: A bidomain model based bem-fem coupling formulation for anisotropic cardiac tissue. AMBE 28, 1229–1243 (2000)
Brandley, C.P., Pullan, A.J., Hunter, P.J.: Effects of material properties and geometry on electrocardiographic forward simulations. Ann. Biomed. Eng. 28, 721–741 (2000)
Cheng, L.K., Bodley, J.M., Pullan, A.J.: The effect of experimental and modeling errors on the electrocardiographic inverse problem. IEEE Trans. Biomed. Eng. (1)
Brebbia, C.A., Telles, J.C.F., Wrobel, L.C.: Boundary element techniques: theory and applications in engineering. Springer, Heidelberg (1984)
Liu, G.: Meshfree Methods. CRC Press, Boca Raton (2003)
Barnard, A.C.L., Duck, I.M., Lynn, M.L.: The application of electromagentic theroy to electrocardiology. Biophys J. 7, 443–462 (1967)
Roth, B.J.: Electrical conductivity values used with the bidomain model of cardiac tissue. IEEE Trans. Biomed. Eng. 44(4), 326–328 (1997)
Goldberger, A.L., et al.: Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiological signals. Cric. 101, e215–e220 (2000)
Aliev, R.R., Panfilov, A.V.: A simple two-variable model of cardiac excitation. Chaos, Solitions & Fractals 7(3), 293–301 (1996)
Durrur, D., Dam, R., Freud, G., Janse, M., Meijler, F., Arzbaecher, R.: Total excitation of the isolated human heart. Comp. Methods Appl. Mech. Eng. 41(6), 899–912 (1970)
Wagner, G.S.: Marriott’s practical electrocardiography. Lippincott williams & wilkins, Philadelphia (2001)
Simelius, K.: Modeling cardiac ventricular activation. Int J. Bioelectromagnetism 3, 51–58 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, L., Zhang, H., Wong, K.C.L., Shi, P. (2008). Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. In: Dohi, T., Sakuma, I., Liao, H. (eds) Medical Imaging and Augmented Reality. MIAR 2008. Lecture Notes in Computer Science, vol 5128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79982-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-79982-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79981-8
Online ISBN: 978-3-540-79982-5
eBook Packages: Computer ScienceComputer Science (R0)