Presentation 1993/6/25
A stationary analysis of electroencephalographic potentials with KM_2O-Langevin equations.
Sanae Kimoto, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara,
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Abstract(in English) In the application of several methods on time series analysis, the observed real data is assumed to be stationary.However,this assumption is very dangerous from the view point of the application to the real data.Recently,the method of stationary test with KM_2O-Langevin equations has been proposed on the theory of stochastic process.A contradiction of the stationary test was confirmed for a longer time series by applying the conventional criteria.We have been improving the criteria of the stationary test which is consistent with the results of the application to the longer time series,and proposed the estimation of the continuous stationary function.In this paper,we apply the theory of this estimation to the time series from the real data of EEG which are mesured under the difference states.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Stationarity / KM_2O-Langevin equations / Time Series Analysis / Electroencephalographic Potentials. / Deterministic Dynamical Systems.
Paper # MBE93-43
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Committee MBE
Conference Date 1993/6/25(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A stationary analysis of electroencephalographic potentials with KM_2O-Langevin equations.
Sub Title (in English)
Keyword(1) Stationarity
Keyword(2) KM_2O-Langevin equations
Keyword(3) Time Series Analysis
Keyword(4) Electroencephalographic Potentials.
Keyword(5) Deterministic Dynamical Systems.
1st Author's Name Sanae Kimoto
1st Author's Affiliation Department of Applied Electronics,Faculty of Industrial Science and Technology,Science University of Tokyo()
2nd Author's Name Tohru Ikeguchi
2nd Author's Affiliation Department of Applied Electronics,Faculty of Industrial Science and Technology,Science University of Tokyo
3rd Author's Name Takeshi Matozaki
3rd Author's Affiliation Department of Applied Electronics,Faculty of Industrial Science and Technology,Science University of Tokyo
4th Author's Name Kazuyuki Aihara
4th Author's Affiliation Department of Mathematical Engineering and Information Physics, Faculty of Engineering,University of Tokyo.
Date 1993/6/25
Paper # MBE93-43
Volume (vol) vol.93
Number (no) 118
Page pp.pp.-
#Pages 8
Date of Issue