A unifying general approach to measure regularity, synchronisation and co-ordination is proposed. This approach is based on conditional entropy and is specifically designed to deal with a small amount of data (a few hundred samples). Quantitative and reliable indexes of regularity, synchronisation and co-ordination (ranging from 0 to 1) are derived in a domain (i.e. the information domain) different from time and frequency domains. The method is applied to evaluate regularity, synchronisation and co-ordination among cardiovascular beat-to-beat variability signals during sympathetic activation induced by head-up tilt (T), during the perturbing action produced by controlled respiration at 10, 15 and 20 breaths/min (CR10, CR15 and CR20), and a...
The study of short-term cardiovascular interactions is classically performed through the bivariate a...
A new approach measuring the predictability of a process is proposed. The predictor is defined as th...
Objective: A defining feature of physiological systems under the neuroautonomic regulation is their ...
Regularity and synchronisation between different rhythms mainly at low (LF) and high frequency (HF) ...
The information carried by heart period (HP) given systolic arterial pressure (SAP) changes was asse...
AbstractThe information carried by heart period (HP) given systolic arterial pressure (SAP) changes ...
An integrated approach to the complexity analysis of short heart period variability series (approxim...
We propose a symbolic analysis framework for the quantitative characterization of complex dynamical ...
While cross-spectral and information-theoretic approaches are widely used for the multivariate analy...
Self-entropy (SE) and transfer entropy (TE) are widely utilized in biomedical signal processing to a...
The study of short-term cardiovascular interactions is classically performed through the bivariate a...
A method that enables measurement of the degree of coupling between two signals is presented. The me...
The physiological mechanisms related to cardio-vascular (CV), cardio-pulmonary (CP), and vasculo-pul...
To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulati...
In the framework of information dynamics, new tools are emerging which allow one to quantify how the...
The study of short-term cardiovascular interactions is classically performed through the bivariate a...
A new approach measuring the predictability of a process is proposed. The predictor is defined as th...
Objective: A defining feature of physiological systems under the neuroautonomic regulation is their ...
Regularity and synchronisation between different rhythms mainly at low (LF) and high frequency (HF) ...
The information carried by heart period (HP) given systolic arterial pressure (SAP) changes was asse...
AbstractThe information carried by heart period (HP) given systolic arterial pressure (SAP) changes ...
An integrated approach to the complexity analysis of short heart period variability series (approxim...
We propose a symbolic analysis framework for the quantitative characterization of complex dynamical ...
While cross-spectral and information-theoretic approaches are widely used for the multivariate analy...
Self-entropy (SE) and transfer entropy (TE) are widely utilized in biomedical signal processing to a...
The study of short-term cardiovascular interactions is classically performed through the bivariate a...
A method that enables measurement of the degree of coupling between two signals is presented. The me...
The physiological mechanisms related to cardio-vascular (CV), cardio-pulmonary (CP), and vasculo-pul...
To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulati...
In the framework of information dynamics, new tools are emerging which allow one to quantify how the...
The study of short-term cardiovascular interactions is classically performed through the bivariate a...
A new approach measuring the predictability of a process is proposed. The predictor is defined as th...
Objective: A defining feature of physiological systems under the neuroautonomic regulation is their ...