Simplicial complex entropy for time series analysis.

ABSTRACT: The complex behavior of many systems in nature requires the application of robust methodologies capable of identifying changes in their dynamics. In the case of time series (which are sensed values of a system during a time interval), several methods have been proposed to evaluate their irregularity. However, for some types of dynamics such as stochastic and chaotic, new approaches are required that can provide a better characterization of them. In this paper we present the simplicial complex approximate entropy, which is based on the conditional probability of the occurrence of elements of a simplicial complex. Our results show that this entropy measure provides a wide range of values with details not easily identifiable with standard methods. In particular, we show that our method is abl

SUBMITTER: Guzman-Vargas L 

PROVIDER: S-EPMC10733285 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature