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Code Listing by Kijoon Lee

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This short code calculates the sample entropy (SampEn) of a given time series data.
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...



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...