Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Differentiation of brain waves patterns in different states by multifractal analysis. / Dmitrieva, L. A.; Kuperin, Yu A.; Smetanin, N. M.
Proceedings of the International Conference Days on Diffraction, DD 2018. ред. / A.Ya. Kazakov; A.P. Kiselev; L.I. Goray; O.V. Motygin. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 76-81 8552936 (Proceedings of the International Conference Days on Diffraction, DD 2018).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Differentiation of brain waves patterns in different states by multifractal analysis
AU - Dmitrieva, L. A.
AU - Kuperin, Yu A.
AU - Smetanin, N. M.
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/11/29
Y1 - 2018/11/29
N2 - We apply two methods (linear spectral analysis and nonlinear multifractal analysis) for analyzing the EEG records for experienced and inexperienced subjects, in meditation and background states. Through comparison of the obtained results, we show that the dominance of different rhythms (Lower Alpha vs. Upper Alpha) in different states for different types of subjects has a nonlinear nature. This is confirmed by the coincidence of spectral analysis and multi-fractal spectra analysis results, at least in the field where spectral analysis works. This opens new perspectives in applications of nonlinear methods for EEG time series study.
AB - We apply two methods (linear spectral analysis and nonlinear multifractal analysis) for analyzing the EEG records for experienced and inexperienced subjects, in meditation and background states. Through comparison of the obtained results, we show that the dominance of different rhythms (Lower Alpha vs. Upper Alpha) in different states for different types of subjects has a nonlinear nature. This is confirmed by the coincidence of spectral analysis and multi-fractal spectra analysis results, at least in the field where spectral analysis works. This opens new perspectives in applications of nonlinear methods for EEG time series study.
UR - http://www.scopus.com/inward/record.url?scp=85060021872&partnerID=8YFLogxK
U2 - 10.1109/DD.2018.8552936
DO - 10.1109/DD.2018.8552936
M3 - Conference contribution
AN - SCOPUS:85060021872
T3 - Proceedings of the International Conference Days on Diffraction, DD 2018
SP - 76
EP - 81
BT - Proceedings of the International Conference Days on Diffraction, DD 2018
A2 - Kazakov, A.Ya.
A2 - Kiselev, A.P.
A2 - Goray, L.I.
A2 - Motygin, O.V.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference Days on Diffraction, DD 2018
Y2 - 4 June 2018 through 8 June 2018
ER -
ID: 88948863