Recognizing human movements by processing EEG-signals using multiresolution analysis

Daria S. Grishina; Anastasiya E. Runnova; Olga N. Pavlova; Alexey N. Pavlov; Alexander E. Hramov

doi:10.1117/12.2511406

1 March 2019 Recognizing human movements by processing EEG-signals using multiresolution analysis

Daria S. Grishina, Anastasiya E. Runnova, Olga N. Pavlova, Alexey N. Pavlov, Alexander E. Hramov

Proceedings Volume 10877, Dynamics and Fluctuations in Biomedical Photonics XVI; 1087710 (2019) https://doi.org/10.1117/12.2511406
Event: SPIE BiOS, 2019, San Francisco, California, United States

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.

Citation Download Citation

Daria S. Grishina, Anastasiya E. Runnova, Olga N. Pavlova, Alexey N. Pavlov, and Alexander E. Hramov "Recognizing human movements by processing EEG-signals using multiresolution analysis", Proc. SPIE 10877, Dynamics and Fluctuations in Biomedical Photonics XVI, 1087710 (1 March 2019); https://doi.org/10.1117/12.2511406

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