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Proceedings Paper

Mathematical approach to recover EEG brain signals with artifacts by means of Gram-Schmidt transform
Author(s): A. E. Runnova; M. O. Zhuravlev; A. A. Koronovskiy; A. E. Hramov
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Paper Abstract

A novel method for removing oculomotor artifacts on electroencephalographical signals is proposed and based on the orthogonal Gram-Schmidt transform using electrooculography data. The method has shown high efficiency removal of artifacts caused by spontaneous movements of the eyeballs (about 95-97% correct remote oculomotor artifacts). This method may be recommended for multi-channel electroencephalography data processing in an automatic on-line in a variety of psycho-physiological experiments.

Paper Details

Date Published: 14 April 2017
PDF: 6 pages
Proc. SPIE 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III, 103370Y (14 April 2017); doi: 10.1117/12.2267828
Show Author Affiliations
A. E. Runnova, Saratov State Univ. (Russian Federation)
M. O. Zhuravlev, Saratov State Univ. (Russian Federation)
Saratov State Technical Univ. (Russian Federation)
A. A. Koronovskiy, Saratov State Univ. (Russian Federation)
A. E. Hramov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10337:
Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III
Vladimir L. Derbov; Vladimir L. Derbov; Dmitry Engelevich Postnov; Dmitry Engelevich Postnov, Editor(s)

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