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Preprints of the Keldysh Institute of Applied Mathematics, 2017, 049, 19 pp.
DOI: https://doi.org/10.20948/prepr-2017-49 (Mi ipmp2265) 		 
Non-stationary analysis of electroencephalogram and disorder indicator construction

A. Yu. Ivchenko, A. B. Kozlova, M. B. Korsakova, E. L. Masherov, Yu. N. Orlov, A. A. Russkov
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DOI: https://doi.org/10.20948/prepr-2017-49
Abstract: In this paper we consider the stationary level of electroencephalogram time series. It appears, that local increase of this indicator can be chosen as a predictor of an attack of epilepsy. The recognition of this attack has a statistical error of the first kind 40 % and the second kind 10 %.
Keywords: non-stationary index, disorder indicator, electroencephalogram, epilepsy attack.
Funding agency Grant number
Russian Foundation for Basic Research 16-01-00342_а
Document Type: Preprint
Language: Russian
Citation: A. Yu. Ivchenko, A. B. Kozlova, M. B. Korsakova, E. L. Masherov, Yu. N. Orlov, A. A. Russkov, “Non-stationary analysis of electroencephalogram and disorder indicator construction”, Keldysh Institute preprints, 2017, 049, 19 pp.
Citation in format AMSBIB
\Bibitem{IvcKozKor17}
\by A.~Yu.~Ivchenko, A.~B.~Kozlova, M.~B.~Korsakova, E.~L.~Masherov, Yu.~N.~Orlov, A.~A.~Russkov
\paper Non-stationary analysis of electroencephalogram and disorder indicator construction
\jour Keldysh Institute preprints
\yr 2017
\papernumber 049
\totalpages 19
\mathnet{http://mi.mathnet.ru/ipmp2265}
\crossref{https://doi.org/10.20948/prepr-2017-49}
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    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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