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Extraction of Foetal Contribution to ECG Recordings Using Cyclostationarity-Based Source Separation Method

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Latent Variable Analysis and Signal Separation (LVA/ICA 2010)

Abstract

In this paper we propose a cyclostationary approach to the problem of the foetal electrocardiogram (FECG) extraction from a set of cutaneous potential recordings of an expectant mother. We adopted a semi-blind source separation (BSS) method for which the only necessary prior knowledge is that of the fundamental cyclic frequency of the cyclostationary process to be estimated. Using this technique, the estimated cyclostationary FECG source of interest is found to be free from any interferences with the mother’s ECG (MECG) signal. Experimental results and perspectives for future research conclude this paper.

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References

  1. Lathauwer, L.D., Moor, B.C., Vandewalle, J.: Foetal Electrocardiogram Exctraction by Blind Source Subspace Separation. IEEE Trans. Biomed. Eng. 47(5), 567–572 (2000)

    Article  Google Scholar 

  2. Zarzoso, Z., Nandi, A.K., Bacharakis, E.: Maternal and Foetal ECG Separation Using Blind Source Separation Methods. IMA Journal of Mathematics Applied in Medicine & Biology 14(3), 207–225 (1997)

    Article  MATH  Google Scholar 

  3. Bacharakis, E., Nandi, A.K., Zarzoso, V.: Foetal ECG Extraction Using Blind Source Separation Methods. In: Ramponi, G., Sicuranza, G.L., Carrato, S., Marsi, S. (eds.) Edizioni Lint Trieste, Italy, vol. 1, pp. 395–398 (1996)

    Google Scholar 

  4. Bacharakis, E., Nandi, A.K., Zarzoso, V.: Foetal ECG Separation from Surface Measurements. In: IMA Conference on Mathematics in Medicine and Biology, Oxford, UK (1996)

    Google Scholar 

  5. Jafari, M.G., Wang, W., Chambers, J.A., Hoya, T., Cichocki, A.: Sequential Blind Source Separation Based Exclusively on Second-Order Statistics Developed for a Class of Periodic Signals. IEEE Transaction on Signal Processing 54(3), 1028–1040 (2006)

    Article  Google Scholar 

  6. Zarzoso, V., Nandi, A.K.: Noninvasive Foetal Electrocardiogram Extraction: Blind Separation Versus Adaptive Noise Cancellation. IEEE Transactions on Biomedical Engineering 48(1), 12–18 (2001)

    Article  Google Scholar 

  7. Blumensath, T., Davies, M.E.: Blind Separation of Maternal and Foetal ECG Recordings using Adaptive Sparse Representations. In: Nandi, A.K., Zhu, X. (eds.) Proceedings of ICA Research Network International Workshop 2006, Liverpool, UK (2006)

    Google Scholar 

  8. Azzerboni, D., La Foresta, F., Mammone, N., Morabito, F.C.: A New Approach Based on Wavelet-ICA Algorithms for Foetal Electrocardiogram Extraction. In: Proceedings ESSAN 2005, d-side publi., Bruges, Belgium (2005)

    Google Scholar 

  9. Capdessus, C., Nandi, A.K., Bouguerriou, N.: Source Extraction Algorithm Based on Cyclic Properties. In: Proceedings of ICA Research Network International Workshop 2008, Liverpool, UK, pp. 36–39 (2008)

    Google Scholar 

  10. (1999, May) DaISy; Database for the Identification of Systems. ESAT/SISTA, K. U. Leuven, Belgium, http://homes.esat.kuleuven.be/~smc/daisy/

  11. Randall, R.B., Antoni, J., Chobsaard, S.: The Relationship between Spectral Correlation and Envelope Analysis for Cyclostationary Machine Signals. Application to Ball Bearing Diagnostics. Mechanical Systems and System Processing 15(5), 945–962 (2001)

    Article  Google Scholar 

  12. Sameni, R., Jutten, C., Shamsollahi, M.B.: A Deflation Procedure for Subspace Decomposition. IEEE Transactions on Signal Processing 58(4), 2363–2374 (2010)

    Article  Google Scholar 

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Haritopoulos, M., Capdessus, C., Nandi, A.K. (2010). Extraction of Foetal Contribution to ECG Recordings Using Cyclostationarity-Based Source Separation Method. In: Vigneron, V., Zarzoso, V., Moreau, E., Gribonval, R., Vincent, E. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2010. Lecture Notes in Computer Science, vol 6365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15995-4_73

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  • DOI: https://doi.org/10.1007/978-3-642-15995-4_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15994-7

  • Online ISBN: 978-3-642-15995-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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