Non-invasive methods applied for complex signals

dc.contributor.author	Nigmatullin R.
dc.contributor.author	Ionescu C.
dc.contributor.author	Osokin S.
dc.contributor.author	Baleanu D.
dc.contributor.author	Toboev V.
dc.date.accessioned	2018-09-18T20:21:18Z
dc.date.available	2018-09-18T20:21:18Z
dc.date.issued	2012
dc.identifier.issn	1221-1451
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/139021
dc.description.abstract	This paper presents the application of a novel algorithm on virtually generated data from patients during anesthesia. Realistic artefacts are simulated in order to validate the usefulness of the proposed methods in separating the signal components: biological trend and artefacts. The results show that the proposed new algorithm can be successfully employed on biological signals to dynamically extract information and distil useful parameters for clinical evaluation.
dc.relation.ispartofseries	Romanian Reports in Physics
dc.subject	Anesthesia
dc.subject	Complex systems
dc.subject	Non-invasive methods
dc.title	Non-invasive methods applied for complex signals
dc.type	Article
dc.relation.ispartofseries-issue	4
dc.relation.ispartofseries-volume	64
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	1032
dc.source.id	SCOPUS12211451-2012-64-4-SID84869447709

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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.