Spontaneous beat-to-beat variations of heart rate (HR) have intrigued scientists and casual
observers for centuries; however, it was not until the 1970s that investigators began to apply …

Nonlinear techniques have found an increasing interest in the dynamical analysis of various
kinds of systems. Among these techniques, entropy-based metrics have emerged as …

Abstract Background and Objective Several software applications have been proposed in
the past years as computational tools for assessing biomedical signals. Many of them are …

Purpose Despite the relevant presence of nonlinear components on heart period (HP) likely
due to cardiorespiratory coupling (CRC), the HP is frequently analyzed in absence of …

Heart rhythm complexity (HRC), a subtype of heart rate variability (HRV), is an important tool
to investigate cardiovascular disease. In this study, we aimed to analyze serial changes in …

Objective: We explored the physiological background of the non-linear operating mode of
cardiorespiratory oscillators as the fundamental question of cardiorespiratory …

This study reports on the complexity modulation of heartbeat dynamics in patients affected
by bipolar disorder. In particular, a multiscale entropy analysis was applied to the RR …

In humans, physiological systems involved in maintaining stable conditions for health and
well-being are complex, encompassing multiple interactions within and between system …

We assessed the effect of surgical aortic valve replacement (SAVR) on cardiovascular and
cerebrovascular controls via spontaneous variability analyses of heart period, approximated …

Phase Entropy (PhEn) was recently introduced for evaluating the nonlinear features of
physiological time series. PhEn has been demonstrated to be a robust approach in …