Ordinal Patterns, Entropy, and EEG

Entropy

Karsten Keller¹  Anton M. Unakafov¹ 

[1] Institute of Mathematics, University of Lübeck, Lübeck D-23562, Germany; E-Mails:

关键词: ordinal patterns;    permutation entropy;    approximate entropy;    sample entropy;    conditional entropy of ordinal patterns;    segmentation;    clustering;    change-points detection;   

DOI  :  10.3390/e16126212

来源: mdpi

【 摘 要 】

In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-world data and, especially, of electroencephalogram (EEG) data. We apply already known (empirical permutation entropy, ordinal pattern distributions) and new (empirical conditional entropy of ordinal patterns, robust to noise empirical permutation entropy) methods for measuring complexity, segmentation and classification of time series.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland