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

Vladimir Maksimenko; Anastasia Runnova; Svetlana Pchelintseva; Tatiana Efremova; Maksim Zhuravlev; Alexander Pisarchik

doi:10.1117/12.2314686

26 April 2018 Analysis of the features of untrained human movements based on the multichannel EEG for controlling anthropomorphic robotic arm

Vladimir Maksimenko, Anastasia Runnova, Svetlana Pchelintseva, Tatiana Efremova, Maksim Zhuravlev, Alexander Pisarchik

Author Affiliations +

Proceedings Volume 10717, Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV; 107171L (2018) https://doi.org/10.1117/12.2314686
Event: Saratov Fall Meeting 2017, 2017, Saratov, Russian Federation

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.

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Vladimir Maksimenko, Anastasia Runnova, Svetlana Pchelintseva, Tatiana Efremova, Maksim Zhuravlev, and Alexander Pisarchik "Analysis of the features of untrained human movements based on the multichannel EEG for controlling anthropomorphic robotic arm", 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); https://doi.org/10.1117/12.2314686

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