Fast Approximate Entropy

This function calculates Approximate Entropy (ApEn) of a time series data in a very efficient way.

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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.

引用格式

Kijoon Lee (2026). Fast Approximate Entropy (https://ww2.mathworks.cn/matlabcentral/fileexchange/32427-fast-approximate-entropy), MATLAB Central File Exchange. 检索时间: .

致谢

参考作品: Approximate Entropy

启发作品: Sample Entropy

类别

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一般信息

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平台兼容性

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  • Linux
版本 已发布 发行说明 Action
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