A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction

  title={A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction},
  author={Bruno Azzerboni and Fabio La Foresta and Nadia Mammone and Francesco Carlo Morabito},
The fetal electrocardiogram (fECG) monitoring yields important information about the fetus condition during pregnancy and it consists in collecting electrical signals by some sensors on the body of the mother. The Independent Component Analysis (ICA) has been widely exploited to isolate the fECG, while wavelet transform has been used as post-processing tool. Here we propose to fit the recently developed Wavelet-ICA method, based on the joint use of Wavelet Analysis and ICA, to fECG extraction… CONTINUE READING
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2 Excerpts

Vandevalle, “Fetal electrocardiogram extraction by blind source subspace separation

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1 Excerpt

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