Отправить статью по E-mail Adaptive filtering of electroencephalogram signals using the empirical-modes method
- Авторы: Grubov V.V.1,2, Runnova A.E.1,2, Koronovskii A.A.1,2, Hramov A.E.1,2
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Учреждения:
- Yuri Gagarin State Technical University of Saratov
- Saratov State University
- Выпуск: Том 43, № 7 (2017)
- Страницы: 619-622
- Раздел: Article
- URL: https://bakhtiniada.ru/1063-7850/article/view/205283
- DOI: https://doi.org/10.1134/S1063785017070070
- ID: 205283
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Аннотация
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.
Об авторах
V. Grubov
Yuri Gagarin State Technical University of Saratov; Saratov State University
Автор, ответственный за переписку.
Email: vvgrubov@gmail.com
Россия, Saratov, 410054; Saratov, 410012
A. Runnova
Yuri Gagarin State Technical University of Saratov; Saratov State University
Email: hramovae@gmail.com
Россия, Saratov, 410054; Saratov, 410012
A. Koronovskii
Yuri Gagarin State Technical University of Saratov; Saratov State University
Email: hramovae@gmail.com
Россия, Saratov, 410054; Saratov, 410012
A. Hramov
Yuri Gagarin State Technical University of Saratov; Saratov State University
Автор, ответственный за переписку.
Email: hramovae@gmail.com
Россия, Saratov, 410054; Saratov, 410012
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