EntropyHub: An open-source toolkit for entropic time series analysis.

ABSTRACT: An increasing number of studies across many research fields from biomedical engineering to finance are employing measures of entropy to quantify the regularity, variability or randomness of time series and image data. Entropy, as it relates to information theory and dynamical systems theory, can be estimated in many ways, with newly developed methods being continuously introduced in the scientific literature. Despite the growing interest in entropic time series and image analysis, there is a shortage of validated, open-source software tools that enable researchers to apply these methods. To date, packages for performing entropy analysis are often run using graphical user interfaces, lack the necessary supporting documentation, or do not include functions for more advanced entropy methods,

SUBMITTER: Flood MW 

PROVIDER: S-EPMC8568273 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature