Internet 
Українська  English  Русский  

DOI:


Inventory reference ISSN 1812-7231 Klin.inform.telemed. Volume 1, Issue 2, 2004, Pages 208-212


Author(s) V. I. Shulgin1, A. V. Pechenin1, V. V. Fedotenko1, K. V. Nasedkin1, I. V. Lahno2


Institution(s)

1"XAI MEDICA", National aerospase University "KhAI" named M. E. Zhukovsky, Kharkiv, Ukraine

2Kharkiv National University named V. N. Karazin, Ukraine


Article title Blind source separation technology application to fetal electrocardiogram extraction


Abstract (resume)

The purpose of the work is development of effective fetal electrocardiogram (FECG) extraction algorithm on the base of a blind source separation technology.

Application of the proposed algorithm assumes a digital processing of the electrocardiogram recorded from the mother body surface. This algorithm was tested by more then 30 ECG-records of CardioLab and CardioCE cardiographs.

The results of the work showed that the application of preprocessing in combination with blind source separation technology make it possible to produce high-quality FECGG extraction in 90% cases.


Keywords fetal ECG extraction, Blind Source Separation (BSS), Independent Component Analysis (ICA), CardioLab, CardioCE


References

1. Widrow B., Glover J. R., McCool J. M. et al., Adaptive Noise Cancelling: Principles and Applications, Proceedings of the IEEE, vol. 63, no. 12, December 1975, pp. 1692–1716.

2. Comon P. Independent Component Analysis, a new concept? Signal Processing, vol. 36, no. 3, pp. 287–314, April 1994.

3. Plonsey R., Bioelectric Phenomena, New York, McGraw-Hill, 1969.

4. Lathauwer L. D., Callaerts D., Moor B. D. and Vandewalle J., Fetal Electrocardiogram Extraction by Source Subspace Separation, Proceedings IEEE/ATHOS Signal Processing Conference on Higher-Order Statistics, Spain, June 1995, pp. 134–138.

5. Bacharakis E., Nandi A. K. and Zarzoso V., Foetal ECG Extraction Using Blind Source Separation Methods, in: Proc. EUSIPCO'96, Trieste, Italy, September 10–13, 1996, pp. 395–398.

6. Zarzoso V., Nandi A. K. and Bacharakis E., Maternal and Foetal ECG Separation Using Blind Source Separation Methods, IMA Journal of Mathematics Applied in Medicine & Biology, vol. 14, no. 3, 1997, pp. 207–225.

7. Zarzoso V. and Nandi A. K., Non-Invasive Fetal Electrocardiogram Extraction: Blind Separation vs. Adaptive Noise Cancellation, submitted to IEEE Transactions on Biomedical Eng., May 1999.

8. Zarzoso V, Millet-Roig J., Nandi A. K., Fetal ECG Extraction from Maternal Skin Electrodes Using Blind Source Separation and Adaptive Noise Cancellation Techniques Computers in Cardiology, Boston, MA, September 24–27, 2000, pp. 431–434.

9. Vrins F, Lee J. A., Verleysen M., Vigneron V., Jutten C. Improving Independent Component Analysis Performances by Variable Selection NNSP 2003 proceedings, Neural Network for Signal Processing Toulouse (France), IEEE, September 17–19, 2003, pp. 359–368.

10. Vigneron V., Paraschiv-Ionescu A., Azancor A., Jutten C. and Sibony O., Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising. Techn. report, LIS-INPG, Grenoble, France, March 2003.

11. Jung Tzyy-Ping, Makeig Scott, Lee Te-Won, McKeown Martin J., Brown Glen, Bell Anthony J., and Sejnowski Terrence J., Independent Component Analysis of Biomedical Signals, from http://www.cnl.salk.edu/~jung/ica.html

12. Vrins F., Lee J. A., Verleysen M., Vigneron V., Jutten C. Improving Independent Component Analysis Performances by Variable Selection. NNSP 2003 proceedings, Neural Network for Signal Processing Toulouse (France), IEEE, September 17–19, 2003,


Full-text version http://kit-journal.com.ua/en/viewer_en.html?doc/2004_2/15.pdf