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Pisma v Zhurnal Tekhnicheskoi Fiziki, 2018, Volume 44, Issue 10, Pages 103–110
DOI: https://doi.org/10.21883/PJTF.2018.10.46105.17219 (Mi pjtf5811) 		 
This article is cited in 13 scientific papers (total in 13 papers)

Stream processing of multichannel eeg data using parallel computing technology with nvidia NVIDIA CUDA processors

V. V. Grubov, V. O. Nedaivozov

Yuri Gagarin State Technical University of Saratov
Full-text PDF (186 kB) Citations (13)
DOI: https://doi.org/10.21883/PJTF.2018.10.46105.17219
Abstract: Prospects of using parallel computing technology (PaCT) methods for the stream processing and online analysis of multichannel EEG data are considered. It is shown that the application of PaCT to calculation and evaluation of spectral characteristics of EEG signals makes online determination of changes in the energy of the main rhythms of neural activity in various parts of the cerebral cortex possible. The possibility of implementing the PaCT algorithm with CUDA C library and its use in a modern brain–computer interface (BCI) for cognitive-activity monitoring in the course of visual perception.
Funding agency Grant number
Russian Science Foundation 17-72-10183
Received: 18.01.2018
English version:
Technical Physics Letters, 2018, Volume 44, Issue 5, Pages 453–455
DOI: https://doi.org/10.1134/S1063785018050188
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. V. Grubov, V. O. Nedaivozov, “Stream processing of multichannel eeg data using parallel computing technology with nvidia NVIDIA CUDA processors”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:10 (2018), 103–110; Tech. Phys. Lett., 44:5 (2018), 453–455
Citation in format AMSBIB
\Bibitem{GruNed18}
\by V.~V.~Grubov, V.~O.~Nedaivozov
\paper Stream processing of multichannel eeg data using parallel computing technology with nvidia NVIDIA CUDA processors
\jour Pisma v Zhurnal Tekhnicheskoi Fiziki
\yr 2018
\vol 44
\issue 10
\pages 103--110
\mathnet{http://mi.mathnet.ru/pjtf5811}
\crossref{https://doi.org/10.21883/PJTF.2018.10.46105.17219}
\elib{https://elibrary.ru/item.asp?id=32740295}
\transl
\jour Tech. Phys. Lett.
\yr 2018
\vol 44
\issue 5
\pages 453--455
\crossref{https://doi.org/10.1134/S1063785018050188}
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    • This publication is cited in the following 13 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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