Independent component and wavelet analysis for fECG extraction: The ST waveform evaluation

F. La Foresta, N. Mammone, F. C. Morabito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of fetal monitoring is to identify fetuses at risk of an adverse outcome based on the ability to understand how the fetus reacts to stress before it becomes compromised. Recent works have shown that the ST waveform of the fetal electrocardiogram (fECG) provides continuous information on the capacity of the fetal heart muscle to respond to the stress of labour. The fECG can be obtained by a non-invasive technique that consists in collecting electrical signals by some sensors on the body of the mother. Unfortunately the fetal heartbeat signal yielded by this recording technique is quite weaker than the mother heartbeat signal, also due to the attenuation during the propagation caused by the tissues; moreover, many other artifacts are superimposed to the two heartbeats. In this paper we propose a method based on wavelet decomposition and independent component analysis in order to approximate the real shape of the fECG. We also try to evaluate the ST waveform for fetal monitoring.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005
Pages86-90
Number of pages5
Volume2005
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005 - Giardini, Naxos, Italy
Duration: Jul 20 2005Jul 22 2005

Other

Other2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005
CountryItaly
CityGiardini, Naxos
Period7/20/057/22/05

Keywords

  • Fetal ECG
  • ICA
  • ST waveform
  • Wavelet transform

ASJC Scopus subject areas

  • Engineering(all)

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    La Foresta, F., Mammone, N., & Morabito, F. C. (2005). Independent component and wavelet analysis for fECG extraction: The ST waveform evaluation. In Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005 (Vol. 2005, pp. 86-90). [1522833] https://doi.org/10.1109/CIMSA.2005.1522833