Submitted:
17 February 2017
Posted:
17 February 2017
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Abstract
During the last years some new variants of Permutation entropy have been introduced and applied to EEG analysis, among them a conditional variant and variants using some additional metric information or being based on entropies different from the Shannon entropy. In some situations it is not completely clear what kind of information the new measures and their algorithmic implementations provide. We discuss the new developments and illustrate them for EEG data.
Keywords:
ordinal patterns
; Permutation entropy
; Approximate entropy
; Sample entropy
; Conditional entropy of ordinal patterns
; Kolmogorov-Sinai entropy
; classification
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
