The Sample Entropy is the negative average natural logarithm of the conditional probability that two sequences that are similar for m points remain similar within a tolerance r at the next point, with self-matches not included in the probability calculation. It is a time measure of complexity.
Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol, 278, H2039-H2049. doi:10.1152/ajpheart.2000.278.6.H2039
Keller, K., Unakafov, A., & Unakafova, V. (2014). Ordinal Patterns, Entropy, and EEG. Entropy, 16(12), 6212-6239. doi:10.3390/e16126212
INPUTS
Parameters:
data = time series
r = tolerance => percent of std to accept as a match
dim = embedded dimension => length of comparison window
Standard values are r=0.2, dim=3
OUTPUTS
result = sample entropy value
Created by Brian Lord
University of Arizona
Cite As
Brian Lord (2024). SampEn (https://www.mathworks.com/matlabcentral/fileexchange/124326-sampen), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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Compatible with any release
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Version | Published | Release Notes | |
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1.0.0 |