Preprint Article Version 1 This version not peer reviewed

Permutation Entropy: New Ideas and Challenges

Version 1 : Received: 17 February 2017 / Approved: 17 February 2017 / Online: 17 February 2017 (16:41:32 CET)

How to cite: Keller, K.; Mangold, T.; Stolz, I.; Werner, J. Permutation Entropy: New Ideas and Challenges. Preprints 2017, 2017020071 (doi: 10.20944/preprints201702.0071.v1). Keller, K.; Mangold, T.; Stolz, I.; Werner, J. Permutation Entropy: New Ideas and Challenges. Preprints 2017, 2017020071 (doi: 10.20944/preprints201702.0071.v1).

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.

Subject Areas

ordinal patterns; Permutation entropy; Approximate entropy;Sample entropy; Conditional entropy of ordinal patterns;Kolmogorov-Sinai entropy; classification

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