Simulation of Cardiac Activation Patterns for Checking Suggestions About the Suitability of Multi-lead ECG Electrode Arrays

  • Christoph Hintermüller
  • Michael Seger
  • Bernhard Pfeifer
  • Gerald Fischer
  • Bernhard Tilg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4072)


In this study results gained for different electrode array schemes are compared which are used to image the activation time of the heart in a noninvasive way. The tested arrays have been selected based on sensitivity and effort-gain analysis. A cellular automaton was used for generating 6 different patterns resembling a sinus rhythm overlaid by an accessory pathway. The BSP was computed using a finite element approach. For generating the AT maps a boundary element model was used. It was found that methods for noninvasive imaging of the cardiac electrophysiology can profit from the increased details and features contained in the BSP maps recorded by a 125 lead array.


Cellular Automaton Electrode Array Accessory Pathway Pace Site Boundary Element Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Huiskamp, G., Greensite, F.: A new method for myocardial activation imaging. IEEE Transactions on Biomedical Engineering 44, 433–446 (1997)CrossRefGoogle Scholar
  2. 2.
    Cuppen, J., Van Oosterom, A.: Model studies with inversely calculated isochrones of ventricular depolarization. IEEE Transactions on Biomedical Engineering 31, 652–659 (1984)CrossRefGoogle Scholar
  3. 3.
    Greensite, F.: Cardiac electromagnetic imaging as an inverse problem. Electromagnetics 21, 557–559 (2001)CrossRefGoogle Scholar
  4. 4.
    Dössel, O., Schneider, F.R.: Opportunities and limitations of non-invasive bioelectric imaging of the heart. In: European Medical and Biomedical Engineering Conference, pp. 1226–1227 (1999)Google Scholar
  5. 5.
    Hintermüller, C., Seger, M., Pfeifer, B., Fischer, G., Modre, R., Tilg, B.: Sensitivity and effort-gain analysis: Multi-lead ecg electrode array selection for activation time imaging. IEEE Transactions on Biomedical Engineering (in press, 2006)Google Scholar
  6. 6.
    Dössel, O., Schneider, F., Müller, M.: Optimization of electrode positions for multichannel electrocardiography with respect to electrical imaging of the heart. In: Proccedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 20, pp. 71–74 (1998)Google Scholar
  7. 7.
    Lux, R.L., Smith, C.R., Wyatt, R.F., Abildskov, J.A.: Limited lead selection for estimation of body surface potential maps in electrocardiography. IEEE Transaction on Biomedical Engineering 25, 270 (1978)CrossRefGoogle Scholar
  8. 8.
    Usui, S., Araki, H.: Wigner distribution analysis of bspm for optimal sampling. IEEE Engineering in Medicine and Biology 9(1), 29–32 (1990)CrossRefGoogle Scholar
  9. 9.
    SippensGroenewegen, A., Peeters, H.A.P., Jessurun, E.R., Linnenbank, A.C., de Medina, E.O.R., Lesh, M.D., van Hemel, N.M.: Body surface mapping during pacing at multiple sites in the human atrium. Circulation 1997(4), 369–380 (1998)Google Scholar
  10. 10.
    Fischer, G., Tilg, B., Modre, R., Hanser, F., Messnarz, B., Wach, P.: On modeling the wilson terminal in the boundary and finite element method. IEEE Transactions on Biomedical Engineering 49(3), 217–224 (2000)CrossRefGoogle Scholar
  11. 11.
    Johnson, C.R.: Computational and numerical methods for bioelectric field problems. Crit. Rev. Biomed. Eng. 25(1), 1–81 (review, 1997)Google Scholar
  12. 12.
    Modre, R., Seger, M., Fischer, G., Hintermüller, C., Hayn, D., Pfeifer, B., Hanser, F., Schreier, G., Tilg, B.: Cardiac anisotropy: Is it negligible regarding noninvasive activation time imaging? IEEE Transactions on Biomedical Engineering (accepted, 2004)Google Scholar
  13. 13.
    Fischer, G., Pfeifer, B., Seger, M., Hintermüller, C., Hanser, F., Modre, R., Tilg, B., Trieb, T., Kremser, C., Roitinger, F.X., Hintringer, F.: Computational efficient noninvasive cardiac activation time imaging. Methods of Information in Medicine 44(5), 674–686 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Christoph Hintermüller
    • 1
  • Michael Seger
    • 1
  • Bernhard Pfeifer
    • 1
  • Gerald Fischer
    • 1
  • Bernhard Tilg
    • 1
  1. 1.Institute for Biomedical EngineeringUniversity for Health Sciences, Medical Informatics and TechnologyHall in TyrolAustria

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