Embedded Dimension and Time Series Length. Practical Influence on Permutation Entropy and Its Applications.

Permutation Entropy (PE) is a time series complexity measure commonly used in a variety of contexts, with medicine being the prime example. In its general form, it requires three input parameters for its calculation: time series length , embedded dimension , and embedded delay τ . Inappropriate choices of these parameters may potentially lead to incorrect interpretations.