Fast Approximate Entropy

Version 1.1.0.0 (25,5 ko) par Kijoon Lee
This function calculates Approximate Entropy (ApEn) of a time series data in a very efficient way.
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Mise à jour 20 mars 2012

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Approximate Entropy (ApEn) is a popular tool in analysing the complexity of time series data especially in clinical research.

This function is a very simple and efficient implementation of ApEn, based on vectorization concept that improves speed tremendously over for-loop implementation.

It also contains a test code (foo.m) for generating a plot of ApEn of different simulated time series data, to help understand the usage. The test code generates a plot similar to that appearing in Ki H. Chon's 2009 paper in IEEE Eng in Med Biol, that discusses what r value we should use.

Citation pour cette source

Kijoon Lee (2024). Fast Approximate Entropy (https://www.mathworks.com/matlabcentral/fileexchange/32427-fast-approximate-entropy), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011b
Compatible avec toutes les versions
Plateformes compatibles
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Catégories
En savoir plus sur Frequently-used Algorithms dans Help Center et MATLAB Answers
Remerciements

Inspiré par : Approximate Entropy

A inspiré : Sample Entropy

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Version Publié le Notes de version
1.1.0.0

The new version (Ver 1) has corrected a minor error in the definition of ApEn, and included another input argument tau for multi-scale ApEn calculation. See inside for details.
1.0.0.0