Fetal Electrocardiogram Extraction Based on SWT-MM Method

Abstract:

Fetal electrocardiogram (FECG) is of great importance due to the potentially precise information that FECG carries could assist clinicians in making more appropriate and timely decisions during pregnancy and labor. In this paper, a method based on combined Stationary Wavelet Transform and Modulus-Maxima (SWT-MM) method is proposed for extracting the complete morphology of the FECG from maternal abdominal ECG (AECG). It particularly provides a different way of constructing the maternal ECG (MECG) template. The Efficacy of the method was validated using real data in Non-Invasive Fetal Electrocardiogram Database. The morphology of the extracted FECG was clearly seen that the fetal R-peak detection by simple differential-threshold method acquired the average accuracy of 96.8%. The method provides additional important benefits of fast speed and automated control for applying into the fetal monitors. Therefore, the method is potentially a strong tool for FECG extraction, especially in real-time use.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4415-4421
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4415
• Online since: September 2014
• Authors: Qiong Liao, Jie Luo, Yang Liu*
• Keywords: Automated Control, Fetal Electrocardiogram, Stationary Wavelet Transformation, Time Invariant

References

[1] J.F. Kaiser, On a simple algorithm to calculate the energy of a signal, in: Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on, IEEE, 1990, pp.381-384.

DOI: 10.1109/icassp.1990.115547

[2] I. Amer-Wåhlin, K. Maršál, ST analysis of fetal electrocardiography in labor, Semin. Fetal Neonat. Med. 16(2011) 29-35.

DOI: 10.1016/j.siny.2010.09.004

[3] M.A. Hasan, M.I. Ibrahimy, M.B.I. Reaz, An Efficient Method for Fetal Electrocardiogram Extraction from the Abdominal Electrocardiogram Signal, J. Comput. Sci. 5 (2009).

[4] M. Asraful Hasan, M. Mamun, BPNN based MECG elimination from the abdominal signal to extract fetal signal for continuous fetal monitoring, Acta Sci-Technol. 35 (2013).

DOI: 10.4025/actascitechnol.v35i2.15361

[5] M. Hasan, M.B.I. Reaz, M.I. Ibrahimy, Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation, in: Neural Networks (IJCNN), The 2011 International Joint Conference on, IEEE, 2011, pp.15-20.

DOI: 10.1109/ijcnn.2011.6033193

[6] Y. Sevim, A. Atasoy, Performance evaluation of nonparametric ICA algorithm for fetal ECG extraction, Turk. J. Electr. Eng. Co. 19 (2011) 657-666.

DOI: 10.3906/elk-0912-311

[7] Z. Wei, W. Xueyun, L. Hongxing, Noninvasive fetal ECG estimation using adaptive comb filter, Comput. Meth. Prog. Bio. 112 (2013) 125-134.

DOI: 10.1016/j.cmpb.2013.07.015

[8] S. Wu, Y. Shen, Z. Zhou, L. Lin, Y. Zeng, X. Gao, Research of fetal ECG extraction using wavelet analysis and adaptive filtering, Comput. Boil. Med. 43 (2013) 1622-1627.

DOI: 10.1016/j.compbiomed.2013.07.028

[9] F. Mochimaru, Y. Fujimoto, Y. Ishikawa, Detecting the fetal electrocardiogram by wavelet theory-based methods, Prog. Biomed. Res. 7 (2002) 185-193.

[10] C.B. Tabernig, R.C. Acevedo, M-wave elimination from surface electromyogram of electrically stimulated muscles using singular value decomposition: Preliminary results, Med. Eng. Phy. 30 (2008) 800-803.

DOI: 10.1016/j.medengphy.2007.09.001

[11] D. Adam, D. Shavit, Complete foetal ECG morphology recording by synchronised adaptive filtration, Med. Biol. Eng. Comput. 28 (1990) 287-292.

DOI: 10.1007/bf02446144

[12] S. Mallat, W.L. Hwang, Singularity detection and processing with wavelets, IEEE T. Inform. Theory, 38 (1992) 617-643.

DOI: 10.1109/18.119727

[13] E. Karvounis, M. Tsipouras, C. Papaloukas, D. Tsalikakis, K. Naka, D. Fotiadis, A non-invasive methodology for fetal monitoring during pregnancy, Method. Inform. Med. 49 (2010) 238.

DOI: 10.3414/me09-01-0041

[14] D.M. Mooney, L.J. Grooome, L.S. Bentz, J.D. Wilson, Computer algorithm for adaptive extraction of fetal cardiac electrical signal, in: Proceedings of the 1995 ACM symposium on Applied computing, ACM, 1995, pp.113-117.

DOI: 10.1145/315891.315932

[15] K.A.K. Azad, Fetal QRS complex detection from abdominal ECG: a fuzzy approach, in: Proceedings of IEEE Nordic Signal Processing Symposium. Kolmarden, Sweden, 2000, pp.275-278.

[16] S.M. Martens, C. Rabotti, M. Mischi, R.J. Sluijter, A robust fetal ECG detection method for abdominal recordings, Physiol. Meas. 28 (2007) 373.

DOI: 10.1088/0967-3334/28/4/004