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Proceedings Paper

Separation between real and imaginary movements from multichannel EEG signals
Author(s): Daria S. Grishina; Olga N. Pavlova; Yasir Kh. Mohammad; Anastasiya E. Runnova; Alexey N. Pavlov; Alexander E. Hramov
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Paper Abstract

We discuss the ability to recognize the electrical activity of the brain associated with the movements of the hands/legs and imagination of such movements. Conducting experiments with a group of untrained volunteers, we show that real and imaginary movements are clearly detected using the scaling exponent of the detrended fluctuation analysis for the majority of EEG channels (usually 28-31 out of 33). Although this ability is shown regardless of the type of movements, the case of leg movements provided a slightly higher recognition results. This conclusion is supported by numerical estimations based on two quantitative measures.

Paper Details

Date Published: 3 June 2019
PDF: 5 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670F (3 June 2019); doi: 10.1117/12.2521736
Show Author Affiliations
Daria S. Grishina, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Olga N. Pavlova, Saratov State Univ. (Russian Federation)
Yasir Kh. Mohammad, Tikrit Univ. (Iraq)
Anastasiya E. Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Alexey N. Pavlov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Alexander E. Hramov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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