Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks; Biomedical Engineering; Vol. 50, iss. 6

Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks; Biomedical Engineering; Vol. 50, iss. 6

Detalhes bibliográficos
Parent link:Biomedical Engineering.— , 1967-
Vol. 50, iss. 6.— 2017.— [P. 371–375]
Autor principal: Devyatykh D. V. Dmitry Vladimirovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Учебно-методический отдел (УМО)
Outros Autores: Gerget O. M. Olga Mikhailovna
Resumo:Title screen
This article presents a nonlinear dynamics model for discriminating the sources of the maternal abdominal elec-trocardiogram (aECG). The coefficients of the separating matrix were determined by training a neural network. This method provides efficient extraction of the fetal electrocardiogram (fECG) independently of the choice of recording point, input signal duration, or number of independent leads.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglês
Publicado em: 2017
Assuntos:
электронный ресурс
труды учёных ТПУ
экстракция
электрокардиограммы
нейтронные сети
Acesso em linha:http://dx.doi.org/10.1007/s10527-017-9658-y
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654338

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