Extracción del electrocardiograma fetal usando una técnica híbrida basada en BSS: Algoritmos COMBI y MULTICOMBI
Keywords:
Abdominal ECG, COMBI, fetal ECG, MULTI-COMBI, SER, SIR
Abstract
En este artículo se emplean dos algoritmos para obtener el ECG fetal a partir del ECG abdominal. Los algoritmos son MULTICOMBI and COMBI, los cuales son una combinación de los algoritmos EFICA y WASOBI. Se compara el desempeño de los algoritmos COMBI, MULTICOMBI, WASOBI, EFICA y el tradicional algoritmo de JADE. Para comparar el desempeño de los algoritmos se usa una base de datos semi-sintética y dos bases de datos reales usando como parámetro la relación señal a error SER. Se encuentra que los algoritmos COMBI y MULTICOMBI muestran mejor desempeño que los algoritmos JADE, EFICA y WASOBI.
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References
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[2] R. A. Shepoval’nikov, A. P. Nemirko, A. N. Kalinichenko, and V. V. Abramchenko, “Investigation of time, amplitude, and frequency parameters of a direct fetal ECG signal during labor and delivery,” Pattern Recognit. Image Anal., vol. 16, no. 1, pp. 74–76, 2006.
[3] N. J. Outram, E. C. Ifeachor, P. W. J. Van Eetvelt, and S. H. Curnow, “Techniques for optimal enhancement and feature extraction of fetal electrocardiogram,” IEE Proc.-Sci. Meas. Technol., vol. 142, no. 6, pp. 482–489, 1995.
[4] Y. C. Park, K. Y. Lee, D. H. Youn, N. H. Kim, W. K. Kim, and S. H. Park, “On detecting the presence of fetal R-wave using the moving averaged magnitude difference algorithm,” IEEE Trans. Biomed. Eng., vol. 39, no. 8, pp. 868–871, 1992.
[5] R. Sameni, M. B. Shamsollahi, C. Jutten, and G. D. Clifford, “A nonlinear Bayesian filtering framework for ECG denoising,” Biomed. Eng. IEEE Trans. On, vol. 54, no. 12, pp. 2172–2185, 2007.
[6] W. Zheng, H. Liu, A. He, X. Ning, and J. Cheng, “Singlelead fetal electrocardiogram estimation by means of combining R-peak detection, resampling and comb filter,” Med. Eng. Phys., vol. 32, no. 7, pp. 708–719, 2010.
[7] A.Khamene and S. Negahdaripour, “A new method for the extraction of fetal ECG from the composite abdominal signal,” Biomed. Eng. IEEE Trans. On, vol. 47, no. 4, pp. 507–516, 2000.
[8] P. P. Kanjilal, S. Palit, and G. Saha, “Fetal ECG extraction from single-channel maternal ECG using singular value decomposition,” Biomed. Eng. IEEE Trans. On, vol. 44, no. 1, pp. 51–59, 1997.
[9] V. Zarzoso, A. K. Nandi, and E. Bacharakis, “Maternal and foetal ECG separation using blind source separation methods,” Math. Med. Biol., vol. 14, no. 3, pp. 207–225, 1997.
[10] M. Richter, T. Schreiber, and D. T. Kaplan, “Fetal ECG extraction with nonlinear state-space projections,” Biomed. Eng. IEEE Trans. On, vol. 45, no. 1, pp. 133–137, 1998.
[11] B. Widrow, J. R. Glover Jr, J. M. McCool, J. Kaunitz, C. S. Williams, R. H. Hearn, J. R. Zeidler, E. Dong Jr, and R. C. Goodlin, “Adaptive noise cancelling: Principles and applications,” Proc. IEEE, vol. 63, no. 12, pp. 1692–1716, 1975.
[12] P. Tichavskỳ, Z. Koldovskỳ, E. Doron, A. Yeredor, and G. Gómez-Herrero, “Blind signal separation by combining two ICA algorithms: HOS-based EFICA and time structure-based WASOBI.” Florence: Eur. Signal Process. Conf. (EUSIPCO), 2006.
[13] P. Tichavsky, Z. Koldovsky, A. Yeredor, G. Gómez-Herrero, and E. Doron, “A hybrid technique for blind separation of non-Gaussian and time-correlated sources using a multicomponent approach,” Neural Netw. IEEE Trans. On, vol. 19, no. 3, pp. 421–430, 2008.
[14] J.-F. Cardoso and A. Souloumiac, “Blind beamforming for non-Gaussian signals,” in IEE Proceedings F (Radar and Signal Processing), vol. 140, pp. 362–370, 1993.
[15] A.Yeredor, “Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting,” Signal Process. Lett. IEEE, vol. 7, no. 7, pp. 197–200, 2000.
[16] Z. Koldovsky, P. Tichavsky, and E. Oja, “Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound,” Neural Netw. IEEE Trans. On, vol. 17, no. 5, pp. 1265– 1277, 2006.
[17] A.Belouchrani, K. Abed-Meraim, J.-F. Cardoso, and E. Moulines, “A blind source separation technique using second-order statistics,” Signal Process. IEEE Trans. On, vol. 45, no. 2, pp. 434–444, 1997.
[18] I. Hyvarinen, “Fast and robust fixed-point algorithms for independent component analysis,” Neural Netw. IEEE Trans. On, vol. 10, no. 3, pp. 626–634, 1999.
[19] D. Taralunga, M. Ungureanu, R. Strungaru, and W. Wolf, “Performance comparison of four ICA algorithms applied for fECG extraction from transabdominal recordings,” in Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on, pp. 1–4, 2011.
[20] K. V. K. Ananthanag and J. S. Sahambi, “Investigation of blind source separation methods for extraction of fetal ECG,” in Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on, vol. 3, pp. 2021–2024, 2003.
[21] R. Romo Vázquez, H. Vélez-Pérez, R. Ranta, V. Louis Dorr, D. Maquin, and L. Maillard, “Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling,” Biomed. Signal Process. Control, vol. 7, no. 4, pp. 389–400, 2012.
[22] M. K. Nath and J. S. Sahambi, “Independent component analysis of functional MRI data,” in TENCON 2008-2008 IEEE Region 10 Conference, pp. 1–6, 2008.
[23] P. Waldmann, “Of ‘cocktail parties’ and exoplanets,” Astrophys. J., vol. 747, no. 1, p. 12, 2012.
[24] L. O. Sarmiento Álvarez, A. González, and J. Millet, “Synthetic database for testing algorithms of fetal ECG extraction from abdominal ECG,” in Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of, pp. 56–61, 2012.
[25] R. Sameni, G. D. Clifford, C. Jutten, and M. B. Shamsollahi, “Multichannel ECG and noise modeling: application to maternal and fetal ECG signals,” EURASIP J. Adv. Signal Process, 2007.
[26] R. Sameni, C. Jutten, and M. B. Shamsollahi, “A deflation procedure for subspace decomposition,” Signal Process. IEEE Trans. On, vol. 58, no. 4, pp. 2363–2374, 2010.
[27] A. L. Goldberger, L. A. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley, “Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals,” Circulation, vol. 101, no. 23, pp. e215–e220, 2000.
Published
2014-12-31
How to Cite
Sarmiento-Álvarez, L., Millet-Roig, J., & González-Salvador, A. (2014). Extracción del electrocardiograma fetal usando una técnica híbrida basada en BSS: Algoritmos COMBI y MULTICOMBI. ITECKNE, 11(2), 121-128. https://doi.org/https://doi.org/10.15332/iteckne.v11i2.718
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Research and Innovation Articles
