This study investigates ultra-low-energy defibrillation protocols using a simple two-dimensional model of cardiac tissue. We find that, rather counter-intuitively, a single, properly timed, biphasic pulse can be more effective in defibrillating the tissue than low energy antitachycardia pacing (LEAP), which employs a sequence of such pulses, succeeding where the latter approach fails. Furthermore, we show that, with the help of adjoint optimization, it is possible to reduce the energy required for defibrillation even further, making it three orders of magnitude lower than that required by LEAP. Finally, we establish that this dramatic reduction is achieved through exploiting the sensitivity of the dynamics in vulnerable windows to promote the annihilation of pairs of nearby phase singularities.
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November 2024
Research Article|
November 05 2024
Ultra-low-energy defibrillation through adjoint optimization
Alejandro Garzón
;
Alejandro Garzón
a)
(Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing)
1
Department of Mathematics, Universidad Sergio Arboleda
, Bogotá 110221, Colombia
a)Author to whom correspondence should be addressed: alejandro.garzon@usa.edu.co
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Roman O. Grigoriev
Roman O. Grigoriev
(Conceptualization, Formal analysis, Methodology, Resources, Visualization, Writing – original draft, Writing – review & editing)
2
School of Physics, Georgia Institute of Technology
, Atlanta, Georgia 30332-0430, USA
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a)Author to whom correspondence should be addressed: alejandro.garzon@usa.edu.co
Chaos 34, 113110 (2024)
Article history
Received:
June 06 2024
Accepted:
September 24 2024
Citation
Alejandro Garzón, Roman O. Grigoriev; Ultra-low-energy defibrillation through adjoint optimization. Chaos 1 November 2024; 34 (11): 113110. https://doi.org/10.1063/5.0222247
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