Comparison of Algorithms for Fetal ECG Extraction

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2014 by IJETT Journal
Volume-9 Number-11                          
Year of Publication : 2014
Authors : Winnie Rachel Cherian , D.J.Jagannath , A.Immanuel Selvakumar


Winnie Rachel Cherian , D.J.Jagannath , A.Immanuel Selvakumar. "Comparison of Algorithms for Fetal ECG Extraction", International Journal of Engineering Trends and Technology (IJETT), V9(11),540-543 March 2014. ISSN:2231-5381. published by seventh sense research group


Electrocardiogram (ECG) is a valuable technique that has been in use for over a century. The analysis of fetal ECG signal has always been an interesting topic in the field of signal processing. The presence of noises in the ECG signal causes distortion in the signal morphology. While analyzing the fetal ECG this distortion of the signal is much more severe as the fetal ECG is much weaker than the adult ECG The work compares the method of projective filtering for fetal ECG extraction with a simple FIR filter based genetic algorithm for fetal ECG extraction. The work finds out that the genetic algorithm based FIR filter is more effective when multichannel signals are considered and PFTAB combined with NMF is effective when single channel signals are considered.


[1]D.J.Jagannath,A.I.Selvakumar, “Issues and research on fetal electrocardiogram signal elicitation”,Biomedical signal processing and control (2013) Available online 3 December 2013 ,ISSN 1746-8094
[2] Reshu Bhoker,J. P Gawande “Fetal ECG Extraction using Wavelet Transform” ITSI Trans. Electrical and Electronics Eng,vol.1,no.4(2013) 2320-8945
[3] Jafari, M.G and J.A. Chambers, J.A. “ Fetal Electrocardiogram Extraction by Sequential Source Separation in the Wavelet Domain.” IEEE Transactions on Biomedical Engineering, 52: (2005). 390–400,
[4] M. Kotas, “Combined application of independent component analysis and projective filtering to fetal ECG extraction”, Biocyb. Biomed. Eng. 28 (1) (2008) 75–93.
[5] Y. Senim, A. Atasoy, “ Performance evaluation of nonparametric ICA algorithm for fetal ECG extraction”, Turk. J. Electr. Eng. Comput. Sci. 19 (2011) 657
[6] J.L. Camargo-Olivares, R. Martin-Clemente, S. Hornillo-Mellado, M.M. Elena, I. Román, “ The maternal abdominal ECG as input to MICA in the fetal ECG extraction problem”, IEEE Signal Process. Lett. 18 (2011) 161
[7] F.S. Najafabadi, E. Zahedi, M.A. Mohd Ali, “Fetal heart rate monitoring based on independent component analysis”, Comput. Biol. Med. 36 (2006) 241
[8] M .A .Hasan,M.I.Ibrahimy,M.B.I.Reaz, “ Fetal ECG extraction from maternal abdominal ECG using Neural Network” .Journal SoftwareEngineering and applications, no 2 (2009) 330-334
[9] M. Hasan, M. Reaz, “Hardware prototyping of neural network based fetal electrocardiogram extraction”, Meas. Sci. Rev. 12 (2012) 52
[10] X.J. Pu, X.P. Zeng, Y.J. Chen, W. Yu, L. Han, J. Cheng, “ Fetal electrocardiogram extraction based on radial basis function neural networks”, J. Chongqing Univ. 32 (2009) 111
[11] S. Puthusserypady, “Extraction of fetal electrocardiogram using H(infinity)adaptive algorithms”, Med. Biol. Eng. Comput. 45 (2007) 927
[12] M. Ungureanu, J.W. Bergmans, S.G. Oei, R. Strungaru, “Fetal ECG extraction during labor using an adaptive maternal beat subtraction technique”, Biomed.Tech. (Berl.) 52 (2007) 56
[13] H. Zhang, Z. Shi, C. Guo, E. Feng, “Semi-blind source extraction algorithm for fetal electrocardiogram based on generalized autocorrelations and reference signals”, J. Comput. Appl. Math. 223 (2009) 409
[14] Y. Ye, P.C.Y. Sheu, J. Zeng, G. Wang, K. Lu, “An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction”, Sci.China Ser. F 52 (2009) 1863
[16] M. Kotas, “Projective filtering of time-aligned beats for fetal ECG extraction”, Bull. Polish Acad. Sci. Tech. Sci. 55 (4) (2007) 331–339
[17] N.M. Gibson, M.S. Woolfson, J.A. Crowe, “Detection of fetal electrocardiogram signals using matched filters with adaptive normalization”, Med. Biol. Eng. Comput. 35 (1997) 216–222.
[18] M. Kotas, J. Jezewski,A. Matonia, T. Kupka “ Towards noise immune detection of fetal QRS complexes” Computer methods and programs in biomedicine 97(2010) 241–256
[19] Ebrahim Kholdi, Nooshin Bigdeli, Karim Afshar “A New GA-Based Adaptive filter for fetal ECG extraction”World Academy of Science, Engineering and Technology 54 2011
[20] Adam Marczyk “Genetic Algorithms and Evolutionary Computation”S. M. Metev and V. P. Veiko, Laser Assisted Microtechnology, 2nd ed., R. M. Osgood, Jr., Ed. Berlin, Germany: Springer-Verlag, 1998.

Abdominal ECG, Extraction, Enhancement, Fetal ECG, Genetic algorithm