Mutidimensional analysis of EEG features using advanced spectral estimates for diagnosis accuracy

A. Lay-Ekuakille, P. Vergallo, G. Griffo, S. Urooj, V. Bhateja, F. Conversano, S. Casciaro, A. Trabacca

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

Abstract

Electroencephalogram (EEG) is a source of interesting information if one is able to extract them according to appropriate techniques. The conditions of individual under EEG test is a key issue. In general, EEG feature extraction can be associated to other information like Electrocardiogram (ECG), ergospirometry and electromyogram (EMG). However, in some cases, a multidimensional representation is used; bispectrum is an example of such a representation. HOS (high order statistics), for instance, include the bispectrum and the trispectrum (third and fourth order statistics, respectively). Advanced estimate spectral analysis can reveal new information encompassed in EEG signals. That is the reason the author propose an algorithm based on DSD (Decimated Signal Diagonalization) that is able of processing exponentially dumped signals like those that regard EEG features. The version proposed here is a multidimensional one.

Original languageEnglish
Title of host publicationMeMeA 2013 - IEEE International Symposium on Medical Measurements and Applications, Proceedings
Pages237-240
Number of pages4
DOIs
Publication statusPublished - 2013
EventIEEE International Symposium on Medical Measurements and Applications, MeMeA 2013 - Gatineau, QC, Canada
Duration: Mar 4 2013Mar 5 2013

Other

OtherIEEE International Symposium on Medical Measurements and Applications, MeMeA 2013
CountryCanada
CityGatineau, QC
Period3/4/133/5/13

Keywords

  • Biomedical measurements
  • Bispectral analysis
  • Decimated Signal Diagonalization
  • Diagnosis Accuracy
  • EEG
  • Signal processing

ASJC Scopus subject areas

  • Biomedical Engineering

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  • Cite this

    Lay-Ekuakille, A., Vergallo, P., Griffo, G., Urooj, S., Bhateja, V., Conversano, F., Casciaro, S., & Trabacca, A. (2013). Mutidimensional analysis of EEG features using advanced spectral estimates for diagnosis accuracy. In MeMeA 2013 - IEEE International Symposium on Medical Measurements and Applications, Proceedings (pp. 237-240). [6549743] https://doi.org/10.1109/MeMeA.2013.6549743