Extraction of the Fetal Electrocardiogram Using Dynamic Neural Networks

D. V. Devyatykh, O. M. Gerget

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Publication statusAccepted/In press - 18 Mar 2017

ASJC Scopus subject areas

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

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