Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks

D. V. Devyatykh, O. M. Gerget

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalBiomedical Engineering
DOIs
Publication statusAccepted/In press - 18 Mar 2017

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Nonlinear Dynamics
Electrocardiography
Dynamic models
Neural networks
Mothers

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Biomedical Engineering
  • Medical Laboratory Technology

Cite this

Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks. / Devyatykh, D. V.; Gerget, O. M.

In: Biomedical Engineering, 18.03.2017, p. 1-5.

Research output: Contribution to journalArticle

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