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Zhurnal Tekhnicheskoi Fiziki, 2018, Volume 88, Issue 5, Pages 782–790
DOI: https://doi.org/10.21883/JTF.2018.05.45908.2304 (Mi jtf5927) 		 
This article is cited in 4 scientific papers (total in 4 papers)

Biomedical physics

Adaptive filtration of physiological artifacts in EEG signals in humans using empirical mode decomposition

V. V. Grubov, A. E. Runnova, A. E. Khramov

Yuri Gagarin State Technical University of Saratov
Full-text PDF (1641 kB) Citations (4)
DOI: https://doi.org/10.21883/JTF.2018.05.45908.2304
Abstract: A new method for adaptive filtration of experimental EEG signals in humans and for removal of different physiological artifacts has been proposed. The algorithm of the method includes empirical mode decomposition of EEG, determination of the number of empirical modes that are considered, analysis of the empirical modes and search for modes that contains artifacts, removal of these modes, and reconstruction of the EEG signal. The method was tested on experimental human EEG signals and demonstrated high efficiency in the removal of different types of physiological EEG artifacts.
Funding agency Grant number
Russian Foundation for Basic Research 16-29-08221 офи_м
МК-3305.2017.2
Ministry of Education and Science of the Russian Federation 3.861.2017/4.6
Received: 22.04.2017
Revised: 03.11.2017
English version:
Technical Physics, 2018, Volume 63, Issue 5, Pages 759–767
DOI: https://doi.org/10.1134/S1063784218050110
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. V. Grubov, A. E. Runnova, A. E. Khramov, “Adaptive filtration of physiological artifacts in EEG signals in humans using empirical mode decomposition”, Zhurnal Tekhnicheskoi Fiziki, 88:5 (2018), 782–790; Tech. Phys., 63:5 (2018), 759–767
Citation in format AMSBIB
\Bibitem{GruRunKhr18}
\by V.~V.~Grubov, A.~E.~Runnova, A.~E.~Khramov
\paper Adaptive filtration of physiological artifacts in EEG signals in humans using empirical mode decomposition
\jour Zhurnal Tekhnicheskoi Fiziki
\yr 2018
\vol 88
\issue 5
\pages 782--790
\mathnet{http://mi.mathnet.ru/jtf5927}
\crossref{https://doi.org/10.21883/JTF.2018.05.45908.2304}
\elib{https://elibrary.ru/item.asp?id=32740071}
\transl
\jour Tech. Phys.
\yr 2018
\vol 63
\issue 5
\pages 759--767
\crossref{https://doi.org/10.1134/S1063784218050110}
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    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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