Example 1: Sample Entropy
Import a signal of normally distributed random numbers [mean = 0; SD = 1], and calculate the
sample entropy for each embedding dimension (m
) from 0 to 4.
X = EH.ExampleData("gaussian");
Samp, _ = EH.SampEn(X, m = 4)
>>> Samp =
array([2.1789, 2.1757, 2.1819, 2.2209, 2.1756])
Select the last value to get the sample entropy for m
= 4.
Samp[-1]
>>> 2.1756
Calculate the sample entropy for each embedding dimension (m
) from 0 to 4 with
a time delay (tau
) of 2 samples.
Samp, Phi1, Phi2 = SampEn(X, m = 4, tau = 2)
>>> Samp =
array([2.1789 2.1833 2.1880 2.1892 2.1441])