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This article is cited in 11 scientific papers (total in 11 papers)
Adaptive filtering of electroencephalogram signals using the empirical-modes method
V. V. Grubovab, A. E. Runnovaab, A. A. Koronovskiiab, A. E. Khramovab a Yuri Gagarin State Technical University of Saratov
b Saratov State University
Abstract:
A new method for the removal of physiological artifacts in the experimental signals of human electroencephalograms (EEGs) has been developed. The method is based on decomposition of the signal in terms of empirical modes. The algorithm involves EEG signal decomposition in terms of empirical modes, searching for modes with artifacts, removing these modes, and restoration of the EEG signal. The method was tested on experimental data and showed high efficiency in the removal of various physiological artifacts in EEGs.
Received: 09.03.2017
Citation:
V. V. Grubov, A. E. Runnova, A. A. Koronovskii, A. E. Khramov, “Adaptive filtering of electroencephalogram signals using the empirical-modes method”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 43:13 (2017), 58–64; Tech. Phys. Lett., 43:7 (2017), 619–622
Linking options:
https://www.mathnet.ru/eng/pjtf6187 https://www.mathnet.ru/eng/pjtf/v43/i13/p58
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