단일채널 복부 심전도를 통한 태아 심전도 분리

A Study on the Separation of Fetal ECG from a Single Channel Abdominal ECG

  • 박광리 (용인송담대 의료정보시스템과) ;
  • 이경중 (연세대 보건과학대 의공학과) ;
  • 이전 (연세대 보건과학대 의공학과)
  • 발행 : 2005.03.01

초록

In this paper, we proposed a new algorithm for the separation of fetal ECG from single channel abdominal ECG. The algorithm consists of a stage of demixing vector calculation for initial signal and a stage of fetal beat detection for the rest of signal. The demixing vector was obtained by applying independent component analysis technique to projected signals into time-frequency domain. For the test of this algorithm, simulation signals, De Lathauwer's data and some measured data, which was acquired from 8 healthy volunteers whose pregnant periods ranged from 22 weeks to 35 weeks and whose ages from 27 to 37, were used. For each data, the accuracy of fetal beat detection was $100\%$ and with the location of fetal beats, fetal heart rate variability and morphology could be offered. In conclusion, this proposed algorithm showed the possibility of fetal beat separation with a single channel abdominal ECG and it might be adopted to a fetal health monitoring system, by which a single channel abdominal ECG is acquired.

키워드

참고문헌

  1. P. Bergveld and W.H. J. Meijer, 'A New Technique for the Suppression of the MECG', IEEE Trans. Biomed. Eng., vol. ME-28, pp. 348-354, 1981 https://doi.org/10.1109/TBME.1981.324803
  2. J. Vanderschoot, D. Callaerts, J. Vandewalle, and J. Janssens, 'Two methods for optimal MECG elimination and FECG detection from skin electrode signals', IEEE Trans. Biomed. Eng., vol. BME-34, pp. 233-243, 1987 https://doi.org/10.1109/TBME.1987.325949
  3. L De Lathauwer, B. De Moor, and J. Vandewall, 'SVD-Based Methodologies for Fetal Electrocardiogram Extraction', Proceedings of International Conference on Acoustics Speech and Signal Processing, pp. 3771-3774, 2001 https://doi.org/10.1109/ICASSP.2000.860223
  4. A. Khamene, S. Negahdaripour, 'A New Method for the Extraction of Fetal ECG from the Composite Abdominal Signal', IEEE Transaction on Biomedical Engineering, vol. 47, no. 4, pp. 507-516, 2000 https://doi.org/10.1109/10.828150
  5. V. Zarzoso, J. Millet-Roig, and A. K. Nan, 'Fetal ECG Extraction from Maternal Skin Electrodes Using Blind Source Separation and Adaptive Noise Cancellation Techniques', Computers in Cardiology, pp. 431-434, 2000 https://doi.org/10.1109/CIC.2000.898549
  6. P. P. Kanjilal and G. Saha, 'Fetal ECG Extraction from Single-Channel Maternal ECG using Singular Value Decomposition', IEEE Trans. Biomed. Eng., vol. 44, no. 1, 1997 https://doi.org/10.1109/10.553712
  7. T. W. Lee, A. J. Bell, and R. Orglmeister, 'Blind source separation of real world signals', Neural Networks, vol. 4, pp. 2129-2134, 1997 https://doi.org/10.1109/ICNN.1997.614235
  8. D. Callaerts, B. Demoor, J. Vandewalle, W. Sansen, G. Vantrappen, and J. Janssens, 'Comparison of SVD methods to extract the fetal electrocardiogram from cutaneous electrode signals', Med. Biol. Eng. Comput., vol. 28, no. 3, pp. 217-224, 1990 https://doi.org/10.1007/BF02442670
  9. T. P. Jung, S. Makeig, C. Humphries, T. W. Lee, M. J. McKeown, V. Iragui, and T. J. Sejnowski, 'Removing electroencephalographic artifacts by blind source separation', Psychophysiol., vol. 37, no. 2, pp. 163-178, 2000 https://doi.org/10.1017/S0048577200980259
  10. G. J. Jang and T. W. Lee, 'A Maximum Likelihood Approach to Single-Channel Source Separation', Jounal of Machine Learning Research, vol. 4, pp. 1365-1392, 2003 https://doi.org/10.1162/jmlr.2003.4.7-8.1365
  11. J. Lee, K. J. Lee, S. K. Yoo, 'Development of a new Signal Processing Algorithm based on Independent Component Analysis for Single Channel ECG Data', Proceedings of the 26th Annual international conference of the IEEE EMBS, Vol. 26, No. 1, pp. 224-226, 2004 https://doi.org/10.1109/IEMBS.2004.1403132
  12. P. Gao, E. C. Chang, and L. Wyse, 'Blind Separation of Fetal ECG from Single Mixture Using SVD and ICA', ICICS-PCM, pp. 1418-1422, 2003
  13. C. A. Menihan and E. K. Zottoli, 'Electronic Featal Monitoring: Concepts and Applications', Lippincott Williams & Wilkins, 2001
  14. A. Hyvarinen and E. Oja, 'A Fast Fixed Point Algorithms for Independent Component Analysis,' Neural Computation, Vol.9, No.7, pp.1483-1492, Oct., 1997 https://doi.org/10.1162/neco.1997.9.7.1483
  15. A. Hyvarinen, 'Independent Component Analysis in the Presence of Gaussian Noise by Maximizing Joint Likelihood', Neurocomputing, vol. 22, pp. 49-67, 1988 https://doi.org/10.1016/S0925-2312(98)00049-6