A novel technique for the extraction of fetal ECG using polynomial networks

In this paper, we propose a novel technique for extracting fetal electrocardiogram (FECG) from a thoracic ECG recording and an abdominal ECG recording of a pregnant woman. The polynomial networks technique is used to nonlinearly map the thoracic ECG signal to the abdominal ECG signal. The FECG is then extracted by subtracting the mapped thoracic ECG from the abdominal ECG signal. Visual test results obtained from real ECG signals show that the proposed algorithm is capable of reliably extracting the FECG from two leads only. The visual quality of the FECG extracted by the proposed technique is found to meet or exceed that of published results using other techniques such as the independent component analysis.

[1]  Leontios J. Hadjileontiadis,et al.  Wavelet-based enhancement of lung and bowel sounds using fractal dimension thresholding-part II: application results , 2005, IEEE Transactions on Biomedical Engineering.

[2]  H Yoshino,et al.  Clinical application of spectral analysis of bowel sounds in intestinal obstruction , 1990, Diseases of the colon and rectum.

[3]  Yannis A. Tolias,et al.  An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds , 2000, IEEE Transactions on Biomedical Engineering.

[4]  Earl R. Ferraraandbernardwidrow.  Fetal Electrocardiogram Enhancement by Time-Sequenced Adaptive Filtering , 1982 .

[5]  A. Cohen.  Signal processing methods for upper airway and pulmonary dysfunction diagnosis , 1990, IEEE Engineering in Medicine and Biology Magazine.

[6]  Stavros M. Panas,et al.  Nonlinear separation of crackles and squawks from vesicular sounds using third-order statistics , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  S Abboud,et al.  Real-time abdominal fetal ECG recording using a hardware correlator. , 1992, Computers in biology and medicine.

[8]  W. Knowler,et al.  Visual lung-sound characterization by time-expanded wave-form analysis. , 1977, The New England journal of medicine.

[9]  J. Echauz,et al.  Fractal dimension characterizes seizure onset in epileptic patients , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[10]  James W. Daniel,et al.  Applied linear algebra (3rd edition) , by Ben Noble and James W. Daniel. Pp 521. £16·95. 1988. ISBN 0-13-040957-X (Prentice-Hall) , 1988, Mathematical Gazette.

[11]  Stavros M. Panas,et al.  Enhancement of bowel sounds by wavelet-based filtering , 2000, IEEE Transactions on Biomedical Engineering.

[12]  William M. Campbell,et al.  Speaker recognition with polynomial classifiers , 2002, IEEE Trans. Speech Audio Process..

[13]  William M. Campbell,et al.  Speaker identification using a polynomial-based classifier , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[14]  Werner Wolf,et al.  New aspects to event-synchronous cancellation of ECG interference: an application of the method in diaphragmatic EMG signals , 2000, IEEE Transactions on Biomedical Engineering.

[15]  B. Noble.  Applied Linear Algebra , 1969 .

[16]  M Sugrue,et al.  Computerized phonoenterography: the clinical investigation of a new system. , 1994, Journal of clinical gastroenterology.

[17]  Yannis A. Tolias,et al.  Real-time separation of discontinuous adventitious sounds from vesicular sounds using a fuzzy rule-based filter , 1998, IEEE Transactions on Information Technology in Biomedicine.

[18]  Stavros M. Panas,et al.  Bowel Sounds Analysis: A Novel Noninvasive Method for Diagnosis of Small-Volume Ascites , 2003, Digestive Diseases and Sciences.

[19]  Shahriar Negahdaripour,et al.  A new method for the extraction of fetal ECG from the composite abdominal signal , 2000, IEEE Transactions on Biomedical Engineering.

[20]  Brian L. Craine,et al.  Enterotachogram Analysis to Distinguish Irritable Bowel Syndrome from Crohn's Disease , 2001, Digestive Diseases and Sciences.

[21]  L. Lathauwer,et al.  Fetal electrocardiogram extraction by source subspace separation , 1995 .

[22]  Joos Vandewalle,et al.  Fetal electrocardiogram extraction by blind source subspace separation , 2000, IEEE Transactions on Biomedical Engineering.

[23]  L.J. Hadjileontiadis,et al.  Separation of discontinuous adventitious sounds from vesicular sounds using a wavelet-based filter , 1997, IEEE Transactions on Biomedical Engineering.

[24]  R G Loudon,et al.  Measuring crackles. , 1990, Chest.

[25]  Dirk Callaerts,et al.  Comparison of SVD methods to extract the foetal electrocardiogram from cutaneous electrode signals , 1990, Medical and Biological Engineering and Computing.

[26]  H. Harashima,et al.  Separation of fine crackles from vesicular sounds by a nonlinear digital filter , 1989, IEEE Transactions on Biomedical Engineering.

[27]  William M. Campbell,et al.  Low-complexity small-vocabulary speech recognition for portable devices , 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

[28]  J. A. Newell,et al.  A clinical foetal electrocardiograph , 1966, Medical and biological engineering.

[29]  H.A. Mansy,et al.  Bowel-sound signal enhancement using adaptive filtering , 1997, IEEE Engineering in Medicine and Biology Magazine.

[30]  W. Cannon,et al.  AUSCULTATION OF THE RHYTHMIC SOUNDS PRODUCED BY THE STOMACH AND INTESTINES , 1905 .

[31]  H S Hira,et al.  LUNG SOUNDS , 1978, The Journal of the Association of Physicians of India.

[32]  Asoke K. Nandi,et al.  Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation , 2001, IEEE Transactions on Biomedical Engineering.

[33]  Stavros M. Panas,et al.  A fuzzy rule-based system for real-time separation of crackles from vesicular sounds , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).