Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions
Articolo
Data di Pubblicazione:
2023
Citazione:
Comparison of discretization strategies for the model-free information-theoretic assessment of short-term physiological interactions / C. Barà, L. Sparacino, R. Pernice, Y. Antonacci, A. Porta, D. Kugiumtzis, L. Faes. - In: CHAOS. - ISSN 1054-1500. - 33:3(2023), pp. 033127.1-033127.16. [10.1063/5.0140641]
Abstract:
This work presents a comparison between different approaches for the model-free estimation of information-theoretic measures of the
dynamic coupling between short realizations of random processes. The measures considered are the mutual information rate (MIR) between
two random processes X and Y and the terms of its decomposition evidencing either the individual entropy rates of X and Y and their joint
entropy rate, or the transfer entropies from X to Y and from Y to X and the instantaneous information shared by X and Y. All measures
are estimated through discretization of the random variables forming the processes, performed either via uniform quantization (binning
approach) or rank ordering (permutation approach). The binning and permutation approaches are compared on simulations of two coupled non-identical Hènon systems and on three datasets, including short realizations of cardiorespiratory (CR, heart period and respiration
flow), cardiovascular (CV, heart period and systolic arterial pressure), and cerebrovascular (CB, mean arterial pressure and cerebral blood
flow velocity) measured in different physiological conditions, i.e., spontaneous vs paced breathing or supine vs upright positions. Our results
show that, with careful selection of the estimation parameters (i.e., the embedding dimension and the number of quantization levels for the
binning approach), meaningful patterns of the MIR and of its components can be achieved in the analyzed systems. On physiological time
series, we found that paced breathing at slow breathing rates induces less complex and more coupled CR dynamics, while postural stress leads
to unbalancing of CV interactions with prevalent baroreflex coupling and to less complex pressure dynamics with preserved CB interactions.
These results are better highlighted by the permutation approach, thanks to its more parsimonious representation of the discretized dynamic
patterns, which allows one to explore interactions with longer memory while limiting the curse of dimensionality.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
C. Barà, L. Sparacino, R. Pernice, Y. Antonacci, A. Porta, D. Kugiumtzis, L. Faes
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