Paper
26 April 2018 Multifractal analysis of real and imaginary movements: EEG study
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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.
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Alexey N. Pavlov, Vladimir A. Maksimenko, Anastasiya E. Runnova, Marina V. Khramova, and Alexander N. Pisarchik "Multifractal analysis of real and imaginary movements: EEG study", 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); https://doi.org/10.1117/12.2311482
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KEYWORDS
Electroencephalography

Motion analysis

Brain

Brain-machine interfaces

Neuroimaging

Wavelets

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