AI Article Synopsis

  • The paper introduces new methods to measure the spatio-temporal organization of electrical activity in human ventricular fibrillation (VF).
  • It describes the analysis conducted during VF episodes in ten patients using advanced techniques including correlation analysis, graph theory, and hierarchical clustering.
  • Results indicate a consistent decline in spatio-temporal organization during VF, with temporary increases during ischemia, highlighting the feasibility of using complex network analysis to study these patterns.

Article Abstract

In this paper, we present a novel approach to quantify the spatio-temporal organization of electrical activation during human ventricular fibrillation (VF). We propose three different methods based on correlation analysis, graph theoretical measures and hierarchical clustering. Using the proposed approach, we quantified the level of spatio-temporal organization during three episodes of VF in ten patients, recorded using multi-electrode epicardial recordings with 30 s coronary perfusion, 150 s global myocardial ischaemia and 30 s reflow. Our findings show a steady decline in spatio-temporal organization from the onset of VF with coronary perfusion. We observed transient increases in spatio-temporal organization during global myocardial ischaemia. However, the decline in spatio-temporal organization continued during reflow. Our results were consistent across all patients, and were consistent with the numbers of phase singularities. Our findings show that the complex spatio-temporal patterns can be studied using complex network analysis.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934463PMC
http://dx.doi.org/10.1007/s10439-018-2007-9DOI Listing

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