Nonadditive information theory for the analysis of brain rhythms

A. Bezerianos, S. Tong, Y. Zhu, Nitish V Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce Nonadditive Information Theory through the axiomatic formulation of Tsallis entropy. We show that systems with transitions from high dimensionality to few degrees of freedom are better described by nonadditive formalism. Such a biological system is the brain and brain rhythms is its macroscopic dynamic trace. We will show with simulations that Tsallis entropy is a powerful information measure, and we present results of brain dynamics analyzed using EEG recordings from a brain injury model.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages1923-1925
Number of pages3
Volume2
Publication statusPublished - 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001

Other

Other23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryTurkey
CityIstanbul
Period10/25/0110/28/01

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Keywords

  • EEG
  • Ischemia
  • Tsallis entropy

ASJC Scopus subject areas

  • Mechanical Engineering
  • Energy Engineering and Power Technology

Cite this

Bezerianos, A., Tong, S., Zhu, Y., & Thakor, N. V. (2001). Nonadditive information theory for the analysis of brain rhythms. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2, pp. 1923-1925)