Reduction of the spectral feature space dimension in the multiclass problem of ECG-signals recognition

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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/158767

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DC Field	Value	Language
dc.contributor.author	Manilo, L.	-
dc.contributor.author	Nemirko, A.	-
dc.date.accessioned	2016-10-18T11:41:28Z	-
dc.date.available	2016-10-18T11:41:28Z	-
dc.date.issued	2016	-
dc.identifier.uri	http://elib.bsu.by/handle/123456789/158767	-
dc.description.abstract	The problem of multiclass recognition of ECG signals using ECG description in the frequency domain is considered. The basis for developing the recognition algorithm is the analysis of Fisher's linear discriminant. Experiments on real signals showed a high efficiency of dangerous arrhythmias recognition.	ru
dc.language.iso	en	ru
dc.publisher	Minsk: Publishing Center of BSU	ru
dc.subject	ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика	ru
dc.subject	ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика	ru
dc.subject	ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение	ru
dc.title	Reduction of the spectral feature space dimension in the multiclass problem of ECG-signals recognition	ru
dc.type	Article	ru
Appears in Collections:	2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

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