Extraction of fetal electrocardiogram using H∞ adaptive algorithms

The fetal electrocardiogram (fECG) contains important information regarding the health of the fetus. However, the fECG obtained noninvasively from the abdominal surface electrical recordings of a pregnant woman are dominated by strong interference from the maternal electrocardiogram (mECG). In this paper, based on the H∞ principle, two adaptive algorithms are proposed for the extraction of fECG from the trans-abdominal recordings of pregnant women. The motivation behind the application of H∞ techniques is the fact that they are robust with respect to model uncertainties and lack of statistical information regarding noise. The proposed algorithms are applied to simulated as well as real multichannel ECG recordings and their performances are compared to that of the well-known least-mean-square (LMS) adaptive algorithm. It is found that the proposed H∞ based algorithms perform superior to the LMS algorithm in extracting the fECG signal.

[1]  Arthur E. Bryson,et al.  Applied Optimal Control , 1969 .

[2]  T. Kailath,et al.  Linear estimation in Krein spaces. II. Applications , 1996, IEEE Trans. Autom. Control..

[3]  C. N. Smyth,et al.  EXPERIMENTAL ELECTROCARDIOGRAPHY OF THE FŒTUS , 1953 .

[4]  Khaled Assaleh,et al.  Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems , 2007, IEEE Transactions on Biomedical Engineering.

[5]  K.T. Assaleh,et al.  Noniterative method for two-lead fetal ECG extraction , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  S Abboud,et al.  Quantification of the fetal electrocardiogram using averaging technique. , 1990, Computers in biology and medicine.

[7]  Jeng-Hsiu Hung,et al.  Digital signal enhancement of the abdominal fetal ECG , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

[8]  J. Crowe,et al.  Extraction of the abdominal fetal electrocardiogram for use as an indicator of antenatal fetal status , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Jean-François Cardoso,et al.  Equivariant adaptive source separation , 1996, IEEE Trans. Signal Process..

[10]  K. Greene,et al.  ST waveform changes of the fetal electrocardiogram during labour—a clinical study , 1985, British journal of obstetrics and gynaecology.

[11]  D B Lindsley,et al.  Heart and brain potentials of human fetuses in utero. By Donald B. Lindsley, 1942. , 1987, The American journal of psychology.

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

[13]  Joos Vandewalle,et al.  SVD-based methodologies for fetal electrocardiogram extraction , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[14]  A. Kam,et al.  Maternal ECG elimination and foetal ECG detection-comparison of several algorithms , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[15]  C. Finlay,et al.  THE ELECTROCARDIOGRAM OF THE NEONATE , 1992 .

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

[17]  Babak Hassibiy,et al.  Linear Estimation in Krein Spaces -part Ii: Applications , 1996 .

[18]  Patrick E. McSharry,et al.  A dynamical model for generating synthetic electrocardiogram signals , 2003, IEEE Transactions on Biomedical Engineering.

[19]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[20]  G. Camps,et al.  Fetal ECG extraction using an FIR neural network , 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).

[21]  C Sureau,et al.  Quantification of the fetal heart rate variability by spectral analysis of fetal well-being and fetal distress. , 1994, European journal of obstetrics, gynecology, and reproductive biology.

[22]  Jonathon A. Chambers,et al.  Fetal electrocardiogram extraction by sequential source separation in the wavelet domain , 2005, IEEE Transactions on Biomedical Engineering.

[23]  S K Kochieva,et al.  Electrocardiography of the fetus , 1968, Biomedical engineering.

[24]  Deniz Erdogmus,et al.  Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm , 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

[25]  Asoke K. Nandi,et al.  Foetal ECG separation , 1997 .

[26]  Ali H. Sayed,et al.  H∞ optimality of the LMS algorithm , 1996, IEEE Trans. Signal Process..

[27]  R. Srinivasan,et al.  Recurrent neural network based adaptive filtering technique for the extraction of foetal electrocardiogram , 2000 .

[28]  Cao Yu,et al.  Wavelet analysis method for processing and recognition of abdominal fetal ECG waveform , 1998, 1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196).

[29]  G. Saha,et al.  Fetal ECG extraction from single-channel maternal ECG using singular value decomposition , 1997, IEEE Transactions on Biomedical Engineering.

[30]  R. E. Bailey.  Intrapartum fetal monitoring. , 2009, American family physician.

[31]  H Lilja,et al.  Microprocessor based waveform analysis of the fetal electrocardiogram during labor , 1989, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.

[32]  C J Marvell,et al.  THE NORMAL CONDITION OF THE FETAL ELECTROCARDIOGRAM DURING LABOUR , 1980, British journal of obstetrics and gynaecology.

[33]  Joos Vandewalle,et al.  Two Methods for Optimal MECG Elimination and FECG Detection from Skin Electrode Signals , 1987, IEEE Transactions on Biomedical Engineering.

[34]  Olivier Sibony,et al.  Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising , 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

[35]  T. Kailath,et al.  Linear estimation in Krein spaces. I. Theory , 1996, IEEE Trans. Autom. Control..

[36]  Adam Gacek,et al.  The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability , 2006, Medical and Biological Engineering and Computing.

[37]  J. Crowe,et al.  Compact long-term recorder for the transabdominal foetal and maternal electrocardiogram , 2006, Medical and Biological Engineering and Computing.

[38]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[39]  L. Shyu,et al.  The use of thoracic-abdominal transfer function in extracting fetal electrocardiogram , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.