Use of Cross-Correlation Analysis of EEG Signals for Detecting Risk Level for Development of Schizophrenia

dc.contributor.author	Panischev O.
dc.contributor.author	Demin S.
dc.contributor.author	Kaplan A.
dc.contributor.author	Varaksina N.
dc.date.accessioned	2018-09-18T20:02:08Z
dc.date.available	2018-09-18T20:02:08Z
dc.date.issued	2013
dc.identifier.issn	0006-3398
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/135934
dc.description.abstract	Study of the cross-correlation between EEGs can be used to detect susceptibility to schizophrenia in children and adolescents (11 to 14 years old). To find diagnostic characters, we use the cross-correlation technique based on the correlation coefficient and the Fourier spectrum of the cross-correlation functions. Our findings make it possible to associate the degree of frequency-phase synchronization in a separate frequency range with risk level of development of schizophrenia. © 2013 Springer Science+Business Media New York.
dc.relation.ispartofseries	Biomedical Engineering
dc.title	Use of Cross-Correlation Analysis of EEG Signals for Detecting Risk Level for Development of Schizophrenia
dc.type	Article
dc.relation.ispartofseries-issue	3
dc.relation.ispartofseries-volume	47
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	153
dc.source.id	SCOPUS00063398-2013-47-3-SID84885053775

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.