The European Physical Journal Special Topics

, Volume 222, Issue 2, pp 457–472

Event detection, multimodality and non-stationarity: Ordinal patterns, a tool to rule them all?

  • D. Arroyo
  • P. Chamorro
  • J.M. Amigó
  • F.B. Rodríguez
  • P. Varona
Regular Article Applications to Real World Time Series

DOI: 10.1140/epjst/e2013-01852-9

Cite this article as:
Arroyo, D., Chamorro, P., Amigó, J. et al. Eur. Phys. J. Spec. Top. (2013) 222: 457. doi:10.1140/epjst/e2013-01852-9

Abstract

In this work, we apply ordinal analysis of time series to the characterisation of neuronal activity. Automatic event detection is performed by means of the so-called permutation entropy, along with the quantification of the relative cardinality of forbidden patterns. In addition, multivariate time series are characterised using the joint permutation entropy. In order to illustrate the suitability of the ordinal analysis for characterising neurophysiological data, we have compared the measures based on ordinal patterns of time series to the tools typically used in the context of neurophysiology.

Copyright information

© EDP Sciences and Springer 2013

Authors and Affiliations

  • D. Arroyo
    • 1
  • P. Chamorro
    • 1
  • J.M. Amigó
    • 2
  • F.B. Rodríguez
    • 1
  • P. Varona
    • 1
  1. 1.Grupo de Neurocomputación Biológica, Escuela Politécnica Superior, Universidad Autónoma de MadridMadridSpain
  2. 2.Centro de Investigación Operativa, Universidad Miguel HernándezElcheSpain