Permutation Entropy: New Ideas and Challenges

被引：57

作者：

Keller, Karsten ^{[1
]}

Mangold, Teresa ^{[1
]}

Stolz, Inga ^{[1
]}

Werner, Jenna ^{[1
]}

机构：

[1] Univ Lubeck, Inst Math, D-23562 Lubeck, Germany

来源：

ENTROPY | 2017年 / 19卷 / 03期

关键词：

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

D O I：

10.3390/e19030134

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Over recent years, some new variants of Permutation entropy have been introduced and applied to EEG analysis, including a conditional variant and variants using some additional metric information or being based on entropies that are 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.

引用

页数：16

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