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article · 2008

Signal Separation for Non-invasive Monitoring of Foetal Heartbeat

Ranjan Acharyya, N.L. Scott, Eberhard Deuss, Paul D. Teal, Jurgen Flierl

Cited by 4Abstract and details only

Abstract

A blind source separation algorithm is successfully applied to extract foetal heartbeat from a set of acoustic data collected from pregnant women. Several different variations of Independent Component Analysis (ICA) algorithms are applied and tested with actual data and it has been observed that ICA based on maximization of cummulants has successfully separated the foetal as well as the mother’s heart beat.

Cite this paper

APA 7

Acharyya, R., Scott, N., Deuss, E., Teal, P. D., & Flierl, J. (2008). Signal Separation for Non-invasive Monitoring of Foetal Heartbeat. https://doi.org/10.1109/bmei.2008.225

MLA 9

Acharyya, Ranjan, et al. “Signal Separation for Non-invasive Monitoring of Foetal Heartbeat.” 2008, pp. 497–501, https://doi.org/10.1109/bmei.2008.225.

Chicago

Acharyya, Ranjan, N.L. Scott, Eberhard Deuss, Paul D. Teal, and Jurgen Flierl. 2008. “Signal Separation for Non-invasive Monitoring of Foetal Heartbeat.” https://doi.org/10.1109/bmei.2008.225.

Harvard

Acharyya, R. et al. (2008) ‘Signal Separation for Non-invasive Monitoring of Foetal Heartbeat’. Available at: https://doi.org/10.1109/bmei.2008.225.

BibTeX
@article{acharyya2008signal,
  title = {{Signal Separation for Non-invasive Monitoring of Foetal Heartbeat}},
  author = {Acharyya, Ranjan and Scott, N.L. and Deuss, Eberhard and Teal, Paul D. and Flierl, Jurgen},
  pages = {497--501},
  year = {2008},
  doi = {10.1109/bmei.2008.225}
}

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