Sample Entropy

Versión 1.0.0.0 (1,73 KB) por Kijoon Lee
This short code calculates the sample entropy (SampEn) of a given time series data.
4.2
(18)
8,2K Descargas
Actualizado 21 mar 2012

Ver licencia

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.

Citar como

Kijoon Lee (2026). Sample Entropy (https://la.mathworks.com/matlabcentral/fileexchange/35784-sample-entropy), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2011b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Etiquetas Añadir etiquetas
Agradecimientos

Inspirado por: Fast Approximate Entropy

Inspiración para: Fast sample entropy, Sample Entropy

Community Treasure Hunt

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

Start Hunting!

Versión Publicado Notas de la versión
1.0.0.0