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

Détails bibliographiques
Parent link:Biomedical Engineering.— , 1967-
Vol. 50, iss. 6.— 2017.— [P. 371–375]
Auteur principal: Devyatykh D. V. Dmitry Vladimirovich
Collectivité auteur: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Учебно-методический отдел (УМО)
Autres auteurs: Gerget O. M. Olga Mikhailovna
Résumé: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
Langue:anglais
Publié: 2017
Sujets:
Accès en ligne:http://dx.doi.org/10.1007/s10527-017-9658-y
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654338

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