Effect of tissue damage on virtual electrode polarization pattern

A. T. Sambelashvili*, V. P. Nikolski, B. R. Wollenzier, I. R. Efimov

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Virtual electrode polarization (VEP) effect is believed to play the key role in pacing and defibrillation. However, under certain conditions, including clinical, its existence and importance remain unknown. We investigated how tissue damage under the pacing electrode might affect the VEP on the basis of 2D passive bidomain model with tissue damage represented as local increase of intracellular conductivity (cell uncoupling) and/or electroporation. The model predictions were compared to experiments. 10 ms stimuli of increasing strength were applied to ventricular surface of a rabbit heart; VEP patterns were recorded by fluorescent mapping setup and tissue damage under the electrode was estimated from the micrographs of the pacing site. The bidomain simulations showed that local decrease in either transmembrane resistance or intracellular conductance lead to fainting and subsequent elimination of the characteristic "dog-bone" pattern of VEP. The experiments confirmed that tissue damage around the pacing electrode could obscure theoretically predicted VEP pattern. In conclusion, the study demonstrates that VEP pattern is strongly modulated by the tissue damage.

Original languageEnglish (US)
Pages (from-to)1432-1433
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Keywords

  • Bidomain
  • Cardiac electrophysiology
  • Damage

ASJC Scopus subject areas

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

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