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  Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing

Suth, D., Luther, S., & Lilienkamp, T. (2024). Chaos control in cardiac dynamics: terminating chaotic states with local minima pacing. Frontiers in Network Physiology, 4: 1401661. doi:10.3389/fnetp.2024.1401661.

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Suth, Daniel1, Author           
Luther, Stefan1, Author           
Lilienkamp, Thomas1, Author           
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1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063288              

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 Abstract: Current treatments of cardiac arrhythmias like ventricular fibrillation involve the application of a high-energy electric shock, that induces significant electrical currents in the myocardium and therefore involves severe side effects like possible tissue damage and post-traumatic stress. Using numerical simulations on four different models of 2D excitable media, this study demonstrates that low energy pulses applied shortly after local minima in the mean value of the transmembrane potential provide high success rates. We evaluate the performance of this approach for ten initial conditions of each model, ten spatially different stimuli, and different shock amplitudes. The investigated models of 2D excitable media cover a broad range of dominant frequencies and number of phase singularities, which demonstrates, that our findings are not limited to a specific kind of model or parameterization of it. Thus, we propose a method that incorporates the dynamics of the underlying system, even during pacing, and solely relies on a scalar observable, which is easily measurable in numerical simulations.

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Language(s): eng - English
 Dates: 2024-07-03
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fnetp.2024.1401661
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Title: Frontiers in Network Physiology
  Abbreviation : Front. Netw. Physiol.
Source Genre: Journal
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Publ. Info: Frontiers Media
Pages: 13 Volume / Issue: 4 Sequence Number: 1401661 Start / End Page: - Identifier: Other: ISSN
CoNE: https://pure.mpg.de/cone/journals/resource/2674-0109