Optimising low-energy defibrillation in 2D cardiac tissue with a genetic algorithm.
Front Netw Physiol
; 3: 1172454, 2023.
Article
em En
| MEDLINE
| ID: mdl-37555132
ABSTRACT
Sequences of low-energy electrical pulses can effectively terminate ventricular fibrillation (VF) and avoid the side effects of conventional high-energy electrical defibrillation shocks, including tissue damage, traumatic pain, and worsening of prognosis. However, the systematic optimisation of sequences of low-energy pulses remains a major challenge. Using 2D simulations of homogeneous cardiac tissue and a genetic algorithm, we demonstrate the optimisation of sequences with non-uniform pulse energies and time intervals between consecutive pulses for efficient VF termination. We further identify model-dependent reductions of total pacing energy ranging from â¼4% to â¼80% compared to reference adaptive-deceleration pacing (ADP) protocols of equal success rate (100%).
Texto completo:
1
Bases de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Front Netw Physiol
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Alemanha