ORIGINAL RESEARCH article

Front. Netw. Physiol.

Sec. Networks in the Cardiovascular System

Volume 5 - 2025 | doi: 10.3389/fnetp.2025.1572834

This article is part of the Research TopicNetwork Physiology: Insights into the Cardiovascular System, Vol IIView all 4 articles

Success rates of simulated multi-pulse defibrillation protocols are sensitive to application timing with individual, protocol-specific optimal timings

Provisionally accepted
  • Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

The final, formatted version of the article will be published soon.

Ventricular fibrillation is a lethal condition where the heartbeat becomes too disorganised to maintain proper circulation. It is treated with defibrillation, which applies an electric shock in an attempt to reset the heart rhythm. As the high energy of this shock risks long-term harm to the patient, means of reducing it without compromising treatment efficacy are of great interest.One approach to maintaining efficacy is to improve the success rate of such low-energy shocks (i.e. pulses) through the proper timing of their application as defibrillation protocols, which consist of one or more pulses with predetermined inter-pulse periods. In practice, however, the effects of application timing remain to be tested for any of the multi-pulse protocols proposed in literature.We use (de)fibrillation simulations to show that such timing matters: The success rate of singlepulse protocols can vary by as much as 80 percentage points depending on timing, and using more shocks in succession only lessens this sensitivity up to a point. We also present evidence that feedback-based defibrillation on a shock-by-shock basis may be the only practical means of using timing to increase treatment efficacy, as we also generally find any optimal application timings to be specific to each combination of protocol and fibrillation episode.

Keywords: cardiac arrhythmia, Ventricular Fibrillation, low-energy defibrillation, excitable media, chaos control, Network physiology

Received: 07 Feb 2025; Accepted: 25 Mar 2025.

Copyright: © 2025 Aron, Luther and Parlitz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ulrich Parlitz, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

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