The FNS-based analyzing the EEG to diagnose the bipolar affective disorder

dc.contributor.author	Panischev O.
dc.contributor.author	Panischeva S.
dc.contributor.author	Demin S.
dc.date.accessioned	2018-09-18T20:25:35Z
dc.date.available	2018-09-18T20:25:35Z
dc.date.issued	2015
dc.identifier.issn	1742-6588
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/139752
dc.description.abstract	Here we demonstrate a capability of method based on the Flicker-Noise Spectroscopy (FNS) in analyzing the manifestation bipolar affective disorder (BAD) in EEG. Generally EEG from BAD patient does not show the visual differences from healthy EEG. Analyzing the behavior of FNS-parameters and the structure of 3D-cross correlators allows to discover the differential characteristics of BAD. The cerebral cortex electric activity of BAD patients have a specific collective dynamics and configuration of the FNS-characteristics in comparison with healthy subjects.
dc.relation.ispartofseries	Journal of Physics: Conference Series
dc.title	The FNS-based analyzing the EEG to diagnose the bipolar affective disorder
dc.type	Conference Paper
dc.relation.ispartofseries-issue	1
dc.relation.ispartofseries-volume	643
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17426588-2015-643-1-SID84952900689

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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.