Sample Entropy

Version 1.0.0.0 (1,73 ko) par Kijoon Lee
This short code calculates the sample entropy (SampEn) of a given time series data.
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Mise à jour 21 mars 2012

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SampEn is a measure of complexity that can be easily applied to any type of time series data, including physiological data such as heart rate variability and EEG data.

SampEn is conceptually similar to approximate entropy (ApEn), but has following differences:

1) SampEn does not count self-matching. The possible trouble of having log(0) is avoided by taking logarithm at the latest step.
2) SampEn does not depend on the datasize as much as ApEn does. The comparison is shown in the graph above. This property makes it amenable to applications with relatively short data size.

This code uses the same vectorisation technique as in Fast Approximate Entropy, another submission from the same author.

Citation pour cette source

Kijoon Lee (2024). Sample Entropy (https://www.mathworks.com/matlabcentral/fileexchange/35784-sample-entropy), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2011b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Remerciements

Inspiré par : Fast Approximate Entropy

A inspiré : Fast sample entropy, Sample Entropy

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Version Publié le Notes de version
1.0.0.0