1. bookVolume 9 (2009): Issue 5 (October 2009)
Journal Details
License
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
access type Open Access

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

Published Online: 06 Nov 2009
Volume & Issue: Volume 9 (2009) - Issue 5 (October 2009)
Page range: 117 - 121
Journal Details
License
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
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.

Keywords

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.Search in Google Scholar

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-S141.10.33549/physiolres.931312Search in Google Scholar

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.Search in Google Scholar

Mirvis, D. (1993). Electrocardiography: A Physiologic Approach. St. Louis: C.V. Mosby.Search in Google Scholar

Di Bernardo, D., Murray, A. (2002). Origin on the electrocardiogram of U-waves and abnormal U-wave inversion. Cardiovascular Research, 53, 202-208.10.1016/S0008-6363(01)00439-4Search in Google Scholar

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, 256-262.10.1016/j.cardiores.2005.04.01015913583Search in Google Scholar

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, 133-137.10.1016/j.jelectrocard.2003.09.03714716614Search in Google Scholar

Bishop, Ch.M. (2006). Pattern Recognition and Machine Learning. Springer.Search in Google Scholar

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, 439-442.10.1109/CIC.2007.4745516Search in Google Scholar

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.Search in Google Scholar

IEEE Programs for Digital Signal Processing. (1979). New York: John Wiley & Sons, IEEE Press.Search in Google Scholar

Gomes, J.A. (1993). Signal Averaged Electrocardiography: Concepts, Methods and Applications. Dordrecht: Kluwer Academic Publications.10.1007/978-94-011-0894-2Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo