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.
ASJC Scopus subject areas
- Medicine (miscellaneous)
- Biomedical Engineering
- Medical Laboratory Technology