The study of evolution and depression of the alpha-rhythm in the human brain EEG by means of wavelet-based methods

A. E. Runnova; M. O. Zhuravlev; M. V. Khramova; A. N. Pysarchik

doi:10.1117/12.2267699

14 April 2017 The study of evolution and depression of the alpha-rhythm in the human brain EEG by means of wavelet-based methods

A. E. Runnova, M. O. Zhuravlev, M. V. Khramova, A. N. Pysarchik

Author Affiliations +

Proceedings Volume 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III; 1033713 (2017) https://doi.org/10.1117/12.2267699
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation

Abstract

We study the appearance, development and depression of the alpha-rhythm in human EEG data during a psychophysiological experiment by stimulating cognitive activity with the perception of ambiguous object. The new method based on continuous wavelet transform allows to estimate the energy contribution of various components, including the alpha rhythm, in the general dynamics of the electrical activity of the projections of various areas of the brain. The decision-making process by observe ambiguous images is characterized by specific oscillatory alfa-rhytm patterns in the multi-channel EEG data. We have shown the repeatability of detected principles of the alpha-rhythm evolution in a data of group of 12 healthy male volunteers.

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A. E. Runnova, M. O. Zhuravlev, M. V. Khramova, and A. N. Pysarchik "The study of evolution and depression of the alpha-rhythm in the human brain EEG by means of wavelet-based methods", Proc. SPIE 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III, 1033713 (14 April 2017); https://doi.org/10.1117/12.2267699

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