Multi-Moment Multiscale Local Sample Entropy and Its Application to Complex Physiological Time Series

DOI10.1142/S0218127422501668OpenAlexW4298007082MaRDI QIDQ5040470

Sange Li, Pengjian Shang

Publication date: 14 October 2022

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127422501668

zbMATH Keywords

multiscale entropysample entropyphysiological signalsimulated datamulti-moment multiscale local sample entropy

Mathematics Subject Classification ID

Inference from stochastic processes (62Mxx) Communication, information (94Axx) Special processes (60Kxx)

Cites Work

• Testing for nonlinearity in time series: the method of surrogate data
• On the phase space approach to complexity
• A comparison study on stages of sleep: quantifying multiscale complexity using higher moments on coarse-graining
• Effective Complexity as a Measure of Information Content
• Approximate entropy as a measure of system complexity.
• Analysis of Time Series Based on a New Entropy Plane by Using Weighted Dispersion Pattern
• Complexity Analysis of Time Series Based on Generalized Fractional Order Refined Composite Multiscale Dispersion Entropy

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