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Based on the similarity between a reentrant wave in cardiac tissue and a vortex in fluid dynamics, the authors hypothesised that a new non-dimensional index, like the Reynolds number in fluid dynamics, may play a critical role in categorising reentrant wave dynamics. Therefore the goal of the present study is to devise a new index to characterise electric wave conduction in cardiac tissue and examined whether this index can be used as a biomarker for categorising the reentrant wave pattern in cardiac tissue. Similar to the procedure used to derive the Reynolds number in fluid dynamics, the authors used a non-dimensionalisation technique to obtain the new index. Its usefulness was verified using a two-dimensional simulation model of electrical wave propagation in cardiac tissue. The simulation results showed that electrical waves in cardiac tissue move into an unstable region when the index exceeds a threshold value.

Original publication




Journal article


IET Syst Biol

Publication Date





317 - 323


Action Potentials, Arrhythmias, Cardiac, Biomarkers, Cardiology, Computational Biology, Computer Simulation, Electrophysiology, Heart, Heart Conduction System, Humans, Models, Cardiovascular, Models, Theoretical, Reference Standards, Rheology, Systems Biology