Propagation of action potentials in cardiac acute regional ischemia: A computer simulation study

Jose M. Ferrero, Vicente Torres, Javier F. Saiz, Jose M. Ferrero, Nitish V. Thakor

Research output: Contribution to journalConference article


In this paper, computer simulations have been carried out to investigate the main features of propagated cardiac action potentials in myocardial tissue in the presence of regional acute ischemia. For this purpose, we have used a modified version of Luo-Rudy phase II model of the ventricular action potential, in which the formulation of the ATP-sensitive K+ current proposed by Ferrero et al has been included, to simulate electrical activity in a 1-dimensional model of myocardial tissue. Both extracellular [K+] and KATP current are conveniently modified along the strand to simulate the normal zone, electrophysiological borderzone and central ischemic zone, each of them 1 cm long. Control electrical stimuli with a basic cycle length of 500 milliseconds were applied to the first cell of the normal zone, and a premature stimulus was applied to the normal side of the ischemic borderzone. The results show that action potentials in the ischemic central zone arising from control stimulation, (a) result from Na+-mediated depressed fast responses, with Ca2+ current playing also an important role in depolarization, and (b) their duration is dramatically reduced when compared to those in the normal zone. Premature action potentials in the central zone show very low upstroke velocities and result from slow Ca2+-dependent responses.

Original languageEnglish (US)
Pages (from-to)216-219
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - Dec 1 1997
EventProceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA
Duration: Oct 30 1997Nov 2 1997


ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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