We present an integrated approach to analyze the multi-lead electrocardiogram (ECG) data
using the framework of multiplex recurrence networks (MRNs). We explore how their
intralayer and interlayer topological features can capture the subtle variations in the
recurrence patterns of the underlying spatio-temporal dynamics of the cardiac system. We
find that MRNs from ECG data of healthy cases are significantly more coherent with high
mutual information and less divergence between respective degree distributions. In cases of …