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Analysis of EEG signal by flicker-noise spectroscopy: identification of right-/left-hand movement imagination.

Flicker-noise spectroscopy (FNS) is a general phenomenological approach to analyzing dynamics of complex nonlinear systems by extracting information contained in chaotic signals. The main idea of FNS is to describe an information hidden in correlation links, which are present in the chaotic componen...

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Published in:Medical & Biological Engineering & Computing Vol. 54; no. 12; pp. 1935 - 1948
Main Author: Broniec, A.
Format: Journal Article
Published: Springer Nature Dec2016
Online Access:View this record in EBSCOhost
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      dt: Dec2016
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      pub: Springer Nature
      place: New York, New York
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        atl: Analysis of EEG signal by flicker-noise spectroscopy: identification of right-/left-hand movement imagination.
      aug:
        au: Broniec, A.
        affil: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering , AGH University of Science and Technology , al. A. Mickiewicza 30 Kraków Poland
      sug:
        subj:
          Hand Physiology
          Spectrum Analysis
          Electroencephalography Methods
          Movement
          Imagination
          Young Adult
          Male
          Signal Processing, Computer Assisted
          Adult
          Electrodes
          Female
          Questionnaires
          Adult: 19-44 years
          Male
          Female
      ab: Flicker-noise spectroscopy (FNS) is a general phenomenological approach to analyzing dynamics of complex nonlinear systems by extracting information contained in chaotic signals. The main idea of FNS is to describe an information hidden in correlation links, which are present in the chaotic component of the signal, by a set of parameters. In the paper, FNS is used for the analysis of electroencephalography signal related to the hand movement imagination. The signal has been parametrized in accordance with the FNS method, and significant changes in the FNS parameters have been observed, at the time when the subject imagines the movement. For the right-hand movement imagination, abrupt changes (visible as a peak) of the parameters, calculated for the data recorded from the left hemisphere, appear at the time corresponding to the initial moment of the imagination. In contrary, for the left-hand movement imagination, the meaningful changes in the parameters are observed for the data recorded from the right hemisphere. As the motor cortex is activated mainly contralaterally to the hand, the analysis of the FNS parameters allows to distinguish between the imagination of the right- and left-hand movement. This opens its potential application in the brain-computer interface.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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