Analysis of Dynamical Interrelations of Electrocardiogram Parameters

  • K. Berskiene Kaunas University of Technology
  • A. Lukosevicius Kaunas University of Technology
  • G. Jarusevicius Kaunas University of Medicine
  • V. Jurkonis Kaunas University of Medicine
  • Z. Navickas Kaunas University of Technology
  • A. Vainoras Kaunas University of Medicine
  • A. Daunoraviciene Kaunas University of Medicine


Mathematical modeling of human physiology is a tremendously ambitious task. The complexity of the problems often stimulates the use of innovative mathematical techniques that are able to capture accurately processes that occur at multiple scales in time and space. The main purpose was to present the analytical method for the analysis of dynamical interrelations of electrocardiogram parameters, cointegrating numeric time series to matrixes by each cardio-cycle. The dynamical interrelations were compared between healthy persons and persons with acute myocardial infarction, also during coronary angiography. The results indicated that ECG signal parameters dynamical interrelations, calculated for each cardio-cycle bring new clinical information, that is not visible in the initial data. Ill. 7, bibl. 13 (in English; summaries in English, Russian and Lithuanian).

How to Cite
Berskiene, K., Lukosevicius, A., Jarusevicius, G., Jurkonis, V., Navickas, Z., Vainoras, A., & Daunoraviciene, A. (2009). Analysis of Dynamical Interrelations of Electrocardiogram Parameters. Elektronika Ir Elektrotechnika, 95(7), 95-98. Retrieved from