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3 June 2019 Detection of EEG oscillatory patterns corresponding to human concentration of attention with help of perceptron type artificial neural network
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Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 1106703 (2019) https://doi.org/10.1117/12.2527702
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
Abstract
In this paper we analyzed possibility for detection of EEG oscillatory patterns related to states of low and high levels of human concentration during perception of visual stimuli with help of artificial neural network. We analyzed different variation of EEG signals combination in order to find optimal one. We performed classification of brain states with perceptron-type artificial neural network and analyzed quality of classification.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vadim V. Grubov and Nikita S. Frolov "Detection of EEG oscillatory patterns corresponding to human concentration of attention with help of perceptron type artificial neural network", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 1106703 (3 June 2019); https://doi.org/10.1117/12.2527702
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