The heart-rate dynamics are one of the most analyzed physiological interactions. Many
mathematical methods were proposed to evaluate heart-rate variability. These methods …

Electrocardiogram (ECG) signal analysis has received special attention of the researchers in
the recent past because of its ability to divulge crucial information about the …

Background This study investigates the variations of Heart Rate Variability (HRV) due to a
real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic …

Background There is consensus that Heart Rate Variability is associated with the risk of
vascular events. However, Heart Rate Variability predictive value for vascular events is not …

Recently, the application of neuroscience methods and findings to the study of
organizational phenomena has gained significant interest and converged in the emerging …

Heart rate variability (HRV) contains important information about the modulation of the
cardiovascular system. Various methods of nonlinear dynamics (eg, estimating Lyapunov …

This paper proposes a new approach to improve the amount of information extracted from
the speech aiming to increase the accuracy of a system developed for the automatic …

A reliable non-invasive method to assess autonomic nervous system activity involves the
evaluation of the time course of heart rate variability (HRV). HRV may vary in accordance …

This paper reviews various nonlinear analysis methods for physiological signals. The
assessment is based on a discussion of chaos-inspired methods, such as fractal dimension …

In this tutorial we present recently developed nonlinear methods of cardiovascular physics
and show their potentials to clinically relevant problems in cardiology. The first part …