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Recognizing human movements by processing EEG-signals using multiresolution analysis
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Paper Abstract

The ability to recognize certain oscillatory patterns in human EEGs associated with various types of movements is studied on the basis of multiresolution analysis, which uses discrete wavelet-transform with Daubechies functions. It is shown that the dispersion of wavelet-coefficients at distinct levels of resolution enables to distinguish the background electrical activity of the brain, the movement of the arms/legs and the imaginations of different types of movements. The advantage of using wavelets with larger support for improving the quality of recognition is discussed.

Paper Details

Date Published: 1 March 2019
PDF: 5 pages
Proc. SPIE 10877, Dynamics and Fluctuations in Biomedical Photonics XVI, 1087710 (1 March 2019); doi: 10.1117/12.2511406
Show Author Affiliations
Daria S. Grishina, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Anastasiya E. Runnova, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Olga N. Pavlova, Saratov State Univ. (Russian Federation)
Alexey N. Pavlov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Saratov State Univ. (Russian Federation)
Alexander E. Hramov, Yuri Gagarin State Technical Univ. of Saratov (Russian Federation)
Innopolis Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10877:
Dynamics and Fluctuations in Biomedical Photonics XVI
Valery V. Tuchin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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