Visualizing and quantifying EEG complexity on the base of ordinal pattern distributions

K. Keller

doi:10.1142/9789814525350_0011

Visualizing and quantifying EEG complexity on the base of ordinal pattern distributions

K. Keller^*

^*Corresponding author for this work

Institute of Mathematics

Abstract

Ordinal time series analysis which is based on analyzing distributions of ordinal patterns is a new promising approach to the exploration of long and complex time series. This paper reviews applications of this approach to EEG analysis and discusses and illustrates some ideas for visualizing and quantifying EEG complexity. Moreover, the central concept of permutation entropy is considered from the modeling viewpoint.

Original language	English
Title of host publication	Recent Advance in Predicting and Preventing Epileptic Sezures
Number of pages	14
Publisher	World Scientific Publishing Co.
Publication date	01.01.2013
Pages	148-161
ISBN (Print)	9789814525343
ISBN (Electronic)	9789814525350
DOIs	https://doi.org/10.1142/9789814525350_0011
Publication status	Published - 01.01.2013

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10.1142/9789814525350_0011

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Visualizing and quantifying EEG complexity on the base of ordinal pattern distributions

Abstract

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