Sample Entropy

Versione 1.0.0.0 (1,73 KB) da Kijoon Lee
This short code calculates the sample entropy (SampEn) of a given time series data.
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Aggiornato 21 mar 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.

Cita come

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

Compatibilità della release di MATLAB
Creato con R2011b
Compatibile con qualsiasi release
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Ispirato da: Fast Approximate Entropy

Ispirato: Fast sample entropy, Sample Entropy

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Versione Pubblicato Note della release
1.0.0.0