On the self-affinity of the electroencephalogram: Evaluation of a whole spectrum of scale coefficients by detrended fluctuations analysis

Paolo Castiglioni, L. Pugnetti, M. Garegnani, E. Mailland, R. Carabalona

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

Abstract

Previous studies evaluated the self-affine characteristics of the electroencephalogram (EEG) by Detrended Fluctuations Analysis (DFA). This has been done by computing scaling exponents α over certain time-scales. However, literature is not univocal regarding i) the number of α coefficients which properly describe the EEG self-affinity, and ii) the temporal regions over which the coefficients should be estimated. We investigated this issue by computing the whole spectrum of scale coefficients, α(n), assessed over a wide range of temporal resolutions, n. This method was then validated by means of synthesized fractal signals. We also assessed the effects on DFA of filters traditionally used for EEG pre-processing. Results suggest that the self-affine structure of EEG is more complex than usually considered. In particular, EEG selfaffinity should be described by a continuous spectrum of scaling exponents, rather than by two or three coefficients only, as done in previous studies. Moreover, filters for signal preprocessing may have dramatic effects on DFA, and could have influenced results previously reported in literature.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages651-654
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/TerritoryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • DFA
  • EEG
  • Fractal
  • Self-similarity

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Fingerprint

Dive into the research topics of 'On the self-affinity of the electroencephalogram: Evaluation of a whole spectrum of scale coefficients by detrended fluctuations analysis'. Together they form a unique fingerprint.

Cite this