Abstract
The detection of the fetal QRS complex from one composite signal recorded from the abdominal area is a challenging problem for both the biomedical and signal processing communities. In this work, in contrast to the classical approach using Singular Value Decomposition (SVD) based on the analysis of the singular value ratio, we present a new approach using optimal SVD based on difference spectrum energy to detect the QRS complexes of the fetus cardiac activity, also the Undecimated Wavelet Transform (UWT) was used for noise filtering and to determine peaks locations. The result of the R peaks performance measure is calculated for the two approaches. This method is advantageous since it is based on the analysis of one abdominal signal, and it is validated in both the synthetic and real signals.
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References
Sameni, R., Clifford, G.D.: A review of fetal ECG signal processing: issues and promising directions. Open Pacing Electrophysiol. Ther. J 3, 4–20 (2010)
Elmansouri, K., Latif, R., Maoulainine, F.: Improvement of fetal electrocardiogram extraction by application of fuzzy adaptive resonance theory to adaptive neural fuzzy system. Int. J. Innov. Appl. Stud. 9(1), 95–103 (2014)
Lathauwer, L., Moor, B., Vandewalle, J.: Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomed. Eng. 47(5), 567–572 (2000)
Richter, M., Schreiber, T., Kaplan, D.T.: Fetal ECG extraction with nonlinear state space projections. IEEE Trans. Biomed. Eng. 45(1), 133–137 (1998)
Kanjilal, P.P., Palit, S., Saha, G.: Fetal ECG extraction from single-channel maternal ECG using singular value decomposition. IEEE Trans. Biomed. Eng. 44(1), 51–59 (1997)
Golub, G.H., Van Loan, C.F.: Matrix Computations. John Hopkins University Press, Baltimore (1996)
Zhao, X., Ye, B.: Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock. Mech. Syst. Signal Pr. 25(5), 1617–1631 (2011)
Brenner, M.J.: Non-stationary dynamics data analysis with wavelet-SVD filtering. Mech. Syst. Signal Pr. 17(4), 765–786 (2003)
Elmansouri, K., Latif, R., Maoulainine, F.: Efficient fetal heart rate extraction using undecimated wavelet transform. In: The 2nd World Conference on Complex Systems, pp. 696–701. IEEE Press, Agadir (2014)
McSharry, P.E., Clifford, G.D., Tarassenko, L., Smith, L.: A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. 50(3), 289–294 (2003)
Kotas, M., Jezewski, J., Horoba, K., Matonia, A.: Application of spatio-temporal filtering to fetal electrocardiogram enhancement. Comput. Meth. Prog. Bio. 104(1), 1–9 (2011)
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Elmansouri, K., Latif, R., Maoulainine, F. (2016). Difference Spectrum Energy Applied for Fetal QRS Complex Detection. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_44
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DOI: https://doi.org/10.1007/978-3-319-30301-7_44
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