Literature DB >> 11088273

Elimination of spiral waves in cardiac tissue by multiple electrical shocks.

A V Panfilov1, S C Müller, V S Zykov, J P Keener.   

Abstract

We study numerically the elimination of a spiral wave in cardiac tissue by application of multiple shocks of external current. To account for the effect of shocks we apply a recently developed theory for the interaction of the external current with cardiac tissue. We compare two possible feedback algorithms for timing of the shocks: a "local" feedback algorithm 11 (using an external electrode placed directly on the tissue) and a "global" feedback algorithm 22 (using the electrocardiogram). Our main results are: application of the external current causes a parametric resonant drift similar to that reported in previous model computations; the ratio of the threshold of elimination of the spiral wave by multiple shocks to the threshold of conventional single shock defibrillation in our model for cardiac tissue is about 0.5, while earlier, less realistic models predicted the value about 0.2; we show that an important factor for successful defibrillation is the location of the feedback electrode and the best results are achieved if the feedback electrode or the ECG lead is located at the boundary (or edge) of the cardiac tissue; the "local" and the "global" feedback algorithms show similar efficiency.

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Year:  2000        PMID: 11088273     DOI: 10.1103/physreve.61.4644

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN: 1063-651X


  3 in total

1.  Low energy defibrillation in human cardiac tissue: a simulation study.

Authors:  Stuart W Morgan; Gernot Plank; Irina V Biktasheva; Vadim N Biktashev
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

2.  Model of electrical activity in cardiac tissue under electromagnetic induction.

Authors:  Fuqiang Wu; Chunni Wang; Ying Xu; Jun Ma
Journal:  Sci Rep       Date:  2016-12-23       Impact factor: 4.379

3.  Traveling waves in the prefrontal cortex during working memory.

Authors:  Sayak Bhattacharya; Scott L Brincat; Mikael Lundqvist; Earl K Miller
Journal:  PLoS Comput Biol       Date:  2022-01-28       Impact factor: 4.475

  3 in total

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