Ordinal analysis of EEG time series

Karsten Keller*, Heinz Lauffer, Mathieu Sinn

*Corresponding author for this work


Ordinal time series analysis is a new approach to the qualitative investigation of long and complex time series. The idea behind it is to transform a given time series into a series of ordinal patterns each describing the order relations between the present and a fixed number of equidistant past values at a given time. Here we consider ordinal pattern distributions and some measures derived from them in order to detect differences between EEG data.

Original languageEnglish
Title of host publicationChaos and Complexity : New Research
Number of pages11
PublisherNova Science Publishers, Inc.
Publication date01.12.2009
ISBN (Print)9781604568417
Publication statusPublished - 01.12.2009


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