Literature DB >> 183910

Origin of epicardial ST-T wave potentials in the intact dog.

M S Spach, R C Barr.   

Abstract

Ventricular repolarization was analyzed by measuring epicardial potential distributions in intact dogs with single or multiple ectopic foci and a minimum at the terminal site(s) of excitation. During the latter half of the T wave the distributions became more complex, and two maxima evolved from the initial one at each ectopic site. The measured epicardial potentials were simulated by means of a model of ST-T wave events that is suitable for study of single and multiple ectopic beats with fusion, a a model we call 'SI model.' Intracellular potentials around the ventricles during repolarization were calculated from measured excitation sequences and known action potential shapes. The extracellular potentials around the ventricles were computed from the intracellular ones by a simplified ventricular geometry. The satisfactory agreement between the theoretical and measured extracellular potential distribution shows that the complex changes which occur throughout the ST-T wave are predicted well on the basis of changes in the intracellular potential distributions. In contrast to the well known lability of the T wave from beat, the results show that for any single beat the events of repolarization proceed in an entirely repeatable and deterministic fashion. The results present a way to directly represent cardiac extracellular events during the ST-T wave, a method analogous to the use of isochromes during QRS, and they imply that in the future it will by possible to achieve a more precise quantitative understanding of the events of the ST-T wave than thus far has been possible for QRS.

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Year:  1976        PMID: 183910     DOI: 10.1161/01.res.39.4.475

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  2 in total

1.  A bidomain model for anisotropic cardiac muscle.

Authors:  D B Geselowitz; W T Miller
Journal:  Ann Biomed Eng       Date:  1983       Impact factor: 3.934

2.  A segmental polynomial model of ventricular electrograms as a simple and efficient morphology discriminator for implantable devices.

Authors:  Jeffrey L Williams; Vladimir Shusterman; Samir Saba
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

  2 in total

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