Identification of Ischemic Lesions Based on Difference Integral Maps, Comparison of Several ECG Intervals

J. Švehlíková 1 , M. Kania 2 , M. Turzová 1 , E. Hebláková 1 , M. Tyšler 1  and R. Maniewski 2
  • 1 Institute of Measurement Science, SAS, Bratislava, Slovakia
  • 2 Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland

Identification of Ischemic Lesions Based on Difference Integral Maps, Comparison of Several ECG Intervals

Ischemic changes in small areas of myocardium can be detected from difference integral maps computed from body surface potentials measured on the same subject in situations with and without manifestation of ischemia. The proposed method for their detection is the inverse solution with 2 dipoles. Surface potentials were recorded at rest and during stress on 10 patients and 3 healthy subjects. Difference integral maps were computed for 4 intervals of integration of electrocardiographic signal (QRST, QRSU, STT and STU) and their properties and applicability as input data for inverse identification of ischemic lesions were compared. The results showed that better (more reliable) inverse solutions can be obtained from difference integral maps computed either from QRST or from STT interval of integration. The average correlation between these maps was 97%. The use of the end of U wave instead of the end of T wave for interval of integration did not improve the results.

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  • Tyšler, M., Szatmáry, V., Turzová, M. (2003). Model study of assessment of local heart repolarization changes by several ECG methods. International Journal of Bioelectromagnetism, 5, 252-253.

  • Tyšler, M., Kneppo, P., Turzová, M., Švehlíková, J., Karas, S., Hebláková, E., Hána, K., Filipová, S. (2007). Noninvasive assessment of local myocardium repolarization changes using high resolution surface ECG mapping. Physiological Research, 56 (suppl. 1), S133-S141.

  • Švehlíková, J., Tyšler, M., Turzová, M., Hebláková, E. (2008). Identification of local repolarization changes in the heart by an inverse solution with two dipoles. In: 25th International Congress on Electrocardiology. Abstracts. St. Petersburg, Russia, 109.

  • Mirvis, D. (1993). Electrocardiography: A Physiologic Approach. St. Louis: C.V. Mosby.

  • Di Bernardo, D., Murray, A. (2002). Origin on the electrocardiogram of U-waves and abnormal U-wave inversion. Cardiovascular Research, 53, 202-208.

  • Ritsema van Eck, H.J., Kors, J.A., van Herpen, G. (2005). The U wave in the electrocardiogram: a solution for a 100-year-old riddle. Cardiovascular Research, 67, 256-262.

  • Ritsema van Eck, H.J., Kors, J.A., van Herpen, G. (2003). The elusive U wave: a simple explanation of its genesis. Journal of Electrocardiography, 36, 133-137.

  • Bishop, Ch.M. (2006). Pattern Recognition and Machine Learning. Springer.

  • Fereniec, M., Kania, M., Stix, G., Mroczka, T., Maniewski, R. (2007). Relation between depolarization and repolarization phases in body surface QRST integral map. Computers in Cardiology, 34, 439-442.

  • Fereniec, M., Maniewski, R., Karpinski, G, Opolski, G., Rix, H. (2008). High-resolution multichannel measurement analysis of cardiac repolarization. Biocybernetics & Biomedical Engineering, 28 (3), 61-69.

  • IEEE Programs for Digital Signal Processing. (1979). New York: John Wiley & Sons, IEEE Press.

  • Gomes, J.A. (1993). Signal Averaged Electrocardiography: Concepts, Methods and Applications. Dordrecht: Kluwer Academic Publications.


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