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Proceedings Paper

Analysis of the features of untrained human movements based on the multichannel EEG for controlling anthropomorphic robotic arm
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Paper Abstract

We have considered time-frequency and spatio-temporal structure of electrical brain activity, associated with real and imaginary movements based on the multichannel EEG recordings. We have found that along with wellknown effects of event-related desynchronization (ERD) in α/μ – rhythms and β – rhythm, these types of activity are accompanied by the either ERS (for real movement) or ERD (for imaginary movement) in low-frequency δ – band, located mostly in frontal lobe. This may be caused by the associated processes of decision making, which take place when subject is deciding either perform the movement or imagine it. Obtained features have been found in untrained subject which it its turn gives the possibility to use our results in the development of brain-computer interfaces for controlling anthropomorphic robotic arm.

Paper Details

Date Published: 26 April 2018
PDF: 7 pages
Proc. SPIE 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV, 107171L (26 April 2018); doi: 10.1117/12.2314686
Show Author Affiliations
Vladimir Maksimenko, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Anastasia Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Svetlana Pchelintseva, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Tatiana Efremova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Maksim Zhuravlev, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Alexander Pisarchik, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)


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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