Fast Approximate Entropy

Versione 1.1.0.0 (25,5 KB) da Kijoon Lee
This function calculates Approximate Entropy (ApEn) of a time series data in a very efficient way.
5.0
(7)
4,7K download
Aggiornato 20 mar 2012

Visualizza la licenza

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.

Cita come

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

Compatibilità della release di MATLAB
Creato con R2011b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Frequently-used Algorithms in Help Center e MATLAB Answers
Riconoscimenti

Ispirato da: Approximate Entropy

Ispirato: Sample Entropy

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione Pubblicato Note della release
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