Wavelet-based analysis of spectral rearrangements of EEG patterns and of non-stationary correlations

S.V. Bozhokin and I.B. Suslova

Physica A: Statistical Mechanics and its Applications, 2015, vol. 421, issue C, 151-160

Abstract: In this paper we present a novel technique of studying EEG signals taking into account their essential nonstationarity. The bursts of activity in EEG rhythm are modeled as a superposition of specially designed elementary signals against the background of a real EEG record at rest. To calculate the time variation of quantitative characteristics of EEG patterns we propose the algorithm based on continuous wavelet transform (CWT) followed by the analysis of spectral integral dynamics in a given frequency range. We introduce new quantitative parameters to describe the dynamics of spectral properties both for each burst of brain activity and for their ensemble. Based on the given model we have identified the appearance and disappearance of patterns in EEG rhythm. The problem of non-stationary correlation of different EEG channels is solved. The use of the techniques for analyzing and classifying transient processes related to the activity of human central nervous system is also discussed.

Keywords: Pattern recognition; Correlation of EEG channels; Continuous wavelet transform; Spectral integrals (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437114009777
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:421:y:2015:i:c:p:151-160

DOI: 10.1016/j.physa.2014.11.026

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().