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HRV Analysis Using Complexity Indices

This paper presents a theoretical study about Heart Rate Variability analysis using information theory-based complexity indices as entropies and Lempel-Ziv complexity. The main idea is to try to find a relation between signal complexity and possible nonlinear dynamics of Heart Rate Variability which are unseen at first investigation. The proposed procedures are applied on test signals which are taken from specified databases.