Entropy Profiling: A Reduced—Parametric Measure of Kolmogorov—Sinai Entropy from Short-Term HRV Signal [PDF]
Entropy, 2020 Entropy profiling is a recently introduced approach that reduces parametric dependence in traditional Kolmogorov-Sinai (KS) entropy measurement algorithms. The choice of the threshold parameter r of vector distances in traditional entropy computations is
Chandan Karmakar +2 more
doaj +2 more sources
A Multiscale Partition-Based Kolmogorov–Sinai Entropy for the Complexity Assessment of Heartbeat Dynamics [PDF]
Bioengineering, 2022 Background: Several methods have been proposed to estimate complexity in physiological time series observed at different time scales, with a particular focus on heart rate variability (HRV) series.
Andrea Scarciglia +3 more
doaj +2 more sources
Stochastic Adder Circuits with Improved Entropy Output [PDF]
Entropy, 2023 Random pulse computing (RPC), the third paradigm along with digital and quantum computing, draws inspiration from biology, particularly the functioning of neurons.
Mateja Batelić, Mario Stipčević
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Trajectory classification through Freeman's curve encoding and entropic analysis. [PDF]
PLoS ONEThe classification of trajectories in two dimensions was done through an entropic analysis of their coded representation. The steps include discretising the trajectory into an 8-symbol code using the Freeman procedure.
Roxana Peña-Mendieta +5 more
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Information Dynamics of the Mother–Fetus System Using Kolmogorov–Sinai Entropy Derived from Heart Sounds: A Longitudinal Study from Early Pregnancy to Postpartum [PDF]
EntropyKolmogorov–Sinai (KS) entropy is an indicator of the chaotic behavior of entire systems from an information-theoretic viewpoint. Here, we used KS entropy values derived from the heart sounds of four fetus–mother pairs to identify the changes in fetal and
Sayuri Ishiyama +3 more
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A Benchmark for Entropy Estimators [PDF]
EntropyThis study assessed the performance of several entropy estimators for numerical time series and symbolic data on non-trivial one-dimensional dynamical systems whose Kolmogorov–Sinai entropy is known with certified accuracy: recent computer-assisted proof
Lucio M. Calcagnile +2 more
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Entanglement Dynamics and Classical Complexity [PDF]
Entropy, 2023 We study the dynamical generation of entanglement for a two-body interacting system, starting from a separable coherent state. We show analytically that in the quasiclassical regime the entanglement growth rate can be simply computed by means of the ...
Jiaozi Wang +3 more
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Predictability of breathing parameters during cardiopulmonary exercise testing using entropy measurements [PDF]
Physiological Reports, Volume 13, Issue 19, October 2025.Abstract Erratic breathing at rest and during exercise has been described in patients with dysfunctional breathing (DB). Sample entropy (SampEn) and approximate entropy (ApEn) were developed to assess the predictability of parameters in time series data. However, SampEn and ApEn were developed for data without trends.
Léon Genecand +13 more
wiley +2 more sources
Cognitive brain lateralization through neurovascular coupling in healthy subjects: A statistical complexity analysis [PDF]
Physiological Reports, Volume 13, Issue 15, August 2025.Abstract Human sensory, cognitive, and motor processes often result in asymmetric cerebral hemisphere activation, observable through neurovascular coupling (NVC). Brain lateralization enables simultaneous performance of distinct functions, enhancing cognitive capacity.
Héctor Rojas‐Pescio +3 more
wiley +2 more sources
Production and transfer of energy and information in Hamiltonian systems. [PDF]
PLoS ONE, 2014 We present novel results that relate energy and information transfer with sensitivity to initial conditions in chaotic multi-dimensional Hamiltonian systems.
Chris G Antonopoulos +2 more
doaj +1 more source