Ms. Svetlana V. Pchelintseva Profile

Svetlana V. Pchelintseva

at Yuri Gagarin State Technical Univ of Saratov

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Publications (4)

Proceedings Article | 26 April 2018 Paper

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

Proceedings Volume 10717, 107171L (2018) https://doi.org/10.1117/12.2314686

KEYWORDS: Electroencephalography, Wavelets, Brain, Robotics, Time-frequency analysis, Motion analysis, Neuroimaging, Control systems, Astatine, Electrodes

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Proceedings Article | 13 February 2018 Paper

Identification of the patterns of brain activity during the imagination of movements using an artificial neural network

Semen Kurkin, Vyacheslav Yu. Musatov, Anastasiya Runnova, Svetlana Pchelintseva, Vadim Grubov

Proceedings Volume 10493, 104931Q (2018) https://doi.org/10.1117/12.2291688

KEYWORDS: Magnetoencephalography, Brain, Neural networks, Neuroimaging, Electroencephalography, Artificial neural networks, Neurons, Signal processing, Control systems, Bandpass filters

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Proceedings Article | 14 April 2017 Paper

Patterns recognition of electric brain activity using artificial neural networks

V. Yu. Musatov, S. Pchelintseva, A. Runnova, A. Hramov

Proceedings Volume 10337, 1033714 (2017) https://doi.org/10.1117/12.2267701

KEYWORDS: Pattern recognition, Artificial neural networks, Neuroimaging, Brain, Electroencephalography, Principal component analysis, Image classification, Neural networks, Nonlinear dynamics, Image processing

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Proceedings Article | 3 March 2017 Paper

Recognition and classification of oscillatory patterns of electric brain activity using artificial neural network approach

Svetlana Pchelintseva, Anastasia Runnova, Vyacheslav Yu. Musatov, Alexander Hramov

Proceedings Volume 10063, 1006317 (2017) https://doi.org/10.1117/12.2250001

KEYWORDS: Electroencephalography, Brain, Image classification, Artificial neural networks, Image processing, Image quality, Data processing, Cerebral cortex, Electrodes, Head, Neural networks, Neurons, Magnetoencephalography, Control systems, Analytical research, Magnetism

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