Methods from nonlinear dynamics (NLD) have shown new insights into heart rate (HR)
variability changes under various physiological and pathological conditions, providing …

The neural regulation of circulatory function is mainly effected through the interplay of the
sympathetic and vagal outflows. This interaction can be explored by assessing …

Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …

The performance of (bio-) signal classification strongly depends on the choice of suitable
features (also called parameters or biomarkers). In this article we evaluate the discriminative …

Multiscale entropy (MSE) was proposed to characterize complexity as a function of the time-
scale factor tau. Despite its broad use, this technique suffers from two limitations:(1) the …

Most real-world systems are characterised by dynamics and correlations emerging at
multiple time scales, and are therefore referred to as complex systems. In this work, the …

The RR-interval time series or tachograms obtained from electrocardiograms have been
widely studied since they reflect the cardiac variability, and this is an indicative of the health …

Ordinal symbolic analysis opens an interesting and powerful perspective on time-series
analysis. Here, we review this relatively new approach and highlight its relation to symbolic …

Background: A puzzling feature of the long QT syndrome (LQTS) is that family members
carrying the same mutation often have divergent symptoms and clinical outcomes …

Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV)
analysis, the presence and the extent to which nonlinear dynamics contribute to short-term …