Mathematical approach to recover EEG brain signals with artifacts by means of Gram-Schmidt transform

A. E. Runnova; M. O. Zhuravlev; A. A. Koronovskiy; A. E. Hramov

doi:10.1117/12.2267828

14 April 2017 Mathematical approach to recover EEG brain signals with artifacts by means of Gram-Schmidt transform

A. E. Runnova, M. O. Zhuravlev, A. A. Koronovskiy, A. E. Hramov

Proceedings Volume 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III; 103370Y (2017) https://doi.org/10.1117/12.2267828
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation

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.

Citation Download Citation

A. E. Runnova, M. O. Zhuravlev, A. A. Koronovskiy, and A. E. Hramov "Mathematical approach to recover EEG brain signals with artifacts by means of Gram-Schmidt transform", 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); https://doi.org/10.1117/12.2267828

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