AN INVERSE MODEL FOR LOCALIZATION OF LOW-DIFFUSIVITY REGIONS IN THE HEART USING ECG/MCG SENSOR ARRAYS

Ashraf Atalla, Aleksandar Jeremic

Abstract

Cardiac activation and consequently performance of the heart can be severely affected by certain electrophysiological anomalies such as irregular patterns in the activation of the heart. Since the wavefront propagation occurs through the diffusion of ions (Na+, K+, etc.) the reduced mobility of ions can be equivalently represented as a reduction of ionic diffusivity causing irregularities in heartbeats. In this paper we propose models for the cardiac activation using inhomogeneous reaction-diffusion equations in the presence of diffusivity disorders. We also derive corresponding statistical signal processing algorithms for estimating (localizing) parameters describing these anomalies. We illustrate applicability of our techniques and demonstrate the identifiability of the parameters through numerical examples using a realistic geometry.

References

  1. et al., L. Z. (2003). Heart-muscle fiber reconstruction from diffusion tensor mri. In Proc. 14th IEEE Visualization Conference. IEEE.
  2. FitzHugh, R. A. (1961). Impulses and physiological states in theoretical models of nerve membrane. Biophys. J.
  3. Geselowtiz, D. (1970). On the magnetic field generated outside an inhomogeneous volume conductor by internal current sources. IEEE Trans. Magn., 6:346-347.
  4. Gulrajani, R. M. (1998). Bioelectricity and Biomagnetism. John Wiley & Sons, New York.
  5. Malmivuo, J. and Plonsey, R. (1995). Bioelectromagnetism. Oxford University Press, New York.
  6. Panfilov, A. and Holden, A. V. (1997). Computational Biology of the Heart. John Wiley & Sons, Chichester, 1st edition.
  7. Rogers, J. M. and McCulloch, A. D. (1994). A collocationgalerkin finite element model of cardiac action potential propagation. IEEE Transactions on Biomedical Engineering, 41:743-757.
  8. Sachse, F. B. (2004). Computational Cardiology. Springer, Berlin.
  9. Vonesh, F. and Chinchilli, V. M. (1997). Linear and Nonlinear Models for the Analysis of Repeated Measurements. Marcel Dekker, New York.
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Paper Citation


in Harvard Style

Atalla A. and Jeremic A. (2008). AN INVERSE MODEL FOR LOCALIZATION OF LOW-DIFFUSIVITY REGIONS IN THE HEART USING ECG/MCG SENSOR ARRAYS . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 508-512. DOI: 10.5220/0001070005080512


in Bibtex Style

@conference{biosignals08,
author={Ashraf Atalla and Aleksandar Jeremic},
title={AN INVERSE MODEL FOR LOCALIZATION OF LOW-DIFFUSIVITY REGIONS IN THE HEART USING ECG/MCG SENSOR ARRAYS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={508-512},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001070005080512},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - AN INVERSE MODEL FOR LOCALIZATION OF LOW-DIFFUSIVITY REGIONS IN THE HEART USING ECG/MCG SENSOR ARRAYS
SN - 978-989-8111-18-0
AU - Atalla A.
AU - Jeremic A.
PY - 2008
SP - 508
EP - 512
DO - 10.5220/0001070005080512