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DY: Fachverband Dynamik und Statistische Physik
DY 22: Pattern Formation
DY 22.6: Vortrag
Dienstag, 10. März 2026, 10:45–11:00, ZEU/0118
Leading mechanisms of defibrillation: A computational approach to study the differences between monophasic and biphasic waveforms — •Daniel Frühwald1 and Thomas Lilienkamp1,2 — 1Nuremberg Institute of Technology Georg Simon Ohm, Computational Physics for Life Science, Nuernberg, Germany — 2Max Planck Institute for Dynamics and Self-Organization, Biomedical Physics Group, Goettingen, Germany
Sudden cardiac death caused by, for example, malignant ventricular arrhythmia, results in an estimated 600,000 deaths per year in the European Community alone. In addition, atrial fibrillation is the most common cardiac arrhythmia worldwide, affecting worldwide more and more people with around 33.5 million in 2010 and 59 million people in 2019. In both diseases, the heart can be reset to sinus rhythm by cardioversion: The application of a high-energy defibrillation shock delivered either from an external device, or from implantable cardioverter defibrillators (ICDs). In both cases, patients suffer from significant side effects due to this treatment, including additional tissue damage and post-traumatic stress. The introduction of biphasic waveforms, instead of monophasic ones enabled a significant reduction in energy leading to mitigated side-effects. While many hypotheses for the increased efficiency of biphasic waveforms exist, the underlying mechanisms are not entirely understood. In a statistically driven multi-scale study, we use numericalsimulations to investigate the influence of different cardiovascular structures on the success rate of defibrillation.
Keywords: Defibrillation; Cardiac arrythmia; Numerical simulation; Nonlinear dynamics; Spatiotemporal chaos