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Multifractal analysis of real and imaginary movements: EEG study
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Paper Abstract

We study abilities of the wavelet-based multifractal analysis in recognition specific dynamics of electrical brain activity associated with real and imaginary movements. Based on the singularity spectra we analyze electroencephalograms (EEGs) acquired in untrained humans (operators) during imagination of hands movements, and show a possibility to distinguish between the related EEG patterns and the recordings performed during real movements or the background electrical brain activity. We discuss how such recognition depends on the selected brain region.

Paper Details

Date Published: 26 April 2018
PDF: 5 pages
Proc. SPIE 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV, 107171P (26 April 2018); doi: 10.1117/12.2311482
Show Author Affiliations
Alexey N. Pavlov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Vladimir A. Maksimenko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Anastasiya E. Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Marina V. Khramova, Saratov State Univ. (Russian Federation)
Alexander N. Pisarchik, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Technical Univ. of Madrid (Spain)


Published in SPIE Proceedings Vol. 10717:
Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV
Vladimir L. Derbov; Dmitry Engelevich Postnov, Editor(s)

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