A Bayesian Filtering Framework for accurate extracting of the non-invasive FECG morphology

@article{Behar2014ABF,
  title={A Bayesian Filtering Framework for accurate extracting of the non-invasive FECG morphology},
  author={Joachim A. Behar and Fernando Andreotti and Julien Oster and Gari D. Clifford},
  journal={Computing in Cardiology 2014},
  year={2014},
  pages={53-56}
}
Introduction: The electrocardiogram (ECG) allows for interpretation of the electrical activity of the heart. The information which can be derived from the foetal ECG (FECG) goes beyond heart rate and heart rate variability. However morphological analysis of the FECG waveform is usually not performed in clinical practice. Methods: A Bayesian Filtering Framework based on an Extended Kalman Filter (EKF) for extracting the FECG from a single abdominal channel is described using a training database… CONTINUE READING
5 Citations
14 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Evaluation of the fetal QT interval using noninvasive foetal ECG technology. In SMFM- 34th Annual Meeting- The Pregnancy Meeting

  • J Behar
  • 2014
1 Excerpt

Bengio Y. Random search for hyperparameter optimization

  • J Bergstra
  • J Mach Learn Res
  • 2012

Filtering of pathological ventricular rhythms during MRI scanning

  • J Oster, M Geist, O Pietquin, GD. Clifford
  • In Proceedings of the seventh International…
  • 2012

Similar Papers

Loading similar papers…