Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

Fetal phonocardiography (fPCG) based antenatal care system is economical and has a potential to use for long-term monitoring due to noninvasive nature of the system. The main limitation of this technique is that noise gets superimposed on the useful signal during its acquisition and transmission. Conventional filtering may result into loss of valuable diagnostic information from these signals. This calls for a robust, versatile, and adaptable denoising method applicable in different operative circumstances. In this work, a novel algorithm based on wavelet transform has been developed for denoising of fPCG signals. Successful implementation of wavelet theory in denoising is heavily dependent on selection of suitable wavelet basis function. This work introduces a new mother wavelet basis function for denoising of fPCG signals. The performance of newly developed wavelet is found to be better when compared with the existing wavelets. For this purpose, a two-channel filter bank, based on characteristics of fPCG signal, is designed. The resultant denoised fPCG signals retain the important diagnostic information contained in the original fPCG signal.

[1]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[2]  Truong Q. Nguyen,et al.  Two-channel perfect-reconstruction FIR QMF structures which yield linear-phase analysis and synthesis filters , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  A. A. Bahnasawi,et al.  Decentralised and hierarchical control of interconnected uncertain systems , 1990 .

[4]  Jun Zhang,et al.  Application of wavelet transform in signal denoising , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).

[5]  Vijay S. Chourasia,et al.  Wavelet-based denoising of fetal phonocardiographic signals , 2010, Int. J. Medical Eng. Informatics.

[6]  H.P. van Geijn,et al.  A transducer for detection of fetal breathing movements , 1989, IEEE Transactions on Biomedical Engineering.

[7]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[8]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[9]  D. Esteban,et al.  Application of quadrature mirror filters to split band voice coding schemes , 1977 .

[10]  E.M. Drakakis,et al.  Modified spectral subtraction for de-noising heart sounds: Interference Suppression via Spectral Comparison , 2008, 2008 IEEE Biomedical Circuits and Systems Conference.

[11]  Anil Kumar Tiwari,et al.  Wireless data acquisition system for fetal phonocardiographic signals using Bluetooth™ , 2012, Int. J. Comput. Heal..

[12]  Martin Vetterli,et al.  Wavelets and filter banks: theory and design , 1992, IEEE Trans. Signal Process..

[13]  D. G. Talbert,et al.  Wide Bandwidlt Fetal Phonography Using a Sensor Matched to the Compliance of the Mother's Abdominal Wall , 1986, IEEE Transactions on Biomedical Engineering.

[14]  P. P. Vaidyanathan,et al.  Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial , 1990, Proc. IEEE.

[15]  Paul D. Teal,et al.  Signal Separation for Non-invasive Monitoring of Foetal Heartbeat , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[16]  R. Gangopadhyay,et al.  Foetal phonocardiographic signal denoising based on non-negative matrix factorization , 2012, Journal of medical engineering & technology.

[17]  Zhao Xiu-min,et al.  A novel de-noising method for heart sound signal using improved thresholding function in wavelet domain , 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).

[18]  Michelle L. Murray,et al.  Antepartal and Intrapartal Fetal Monitoring , 1988 .

[19]  Christopher J. James,et al.  Extracting sources from noisy abdominal phonograms: a single-channel blind source separation method , 2009, Medical & Biological Engineering & Computing.

[20]  Solange Akselrod,et al.  Non invasive fetal ECG monitoring , 1994, Computers in Cardiology 1994.

[21]  P. Varady,et al.  Wavelet-based adaptive denoising of phonocardiographic records , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  Naif Alajlan,et al.  A wavelet optimization approach for ECG signal classification , 2012, Biomed. Signal Process. Control..

[23]  Mahmoud Moghavvemi,et al.  Real time analysis of fetal phonocardiography , 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

[24]  Derek Abbott,et al.  Optimal wavelet denoising for phonocardiograms , 2001 .

[25]  Someshwar C. Gupta,et al.  Multirate digital filters , 1979 .

[26]  Y. Meyer,et al.  Wavelets and Filter Banks , 1991 .

[27]  Henry Tabe,et al.  Wavelet Transform , 2009, Encyclopedia of Biometrics.

[28]  Ajit S. Bopardikar,et al.  Wavelet transforms - introduction to theory and applications , 1998 .

[29]  J.T.E. McDonnell,et al.  Knowledge-based interpretation of foetal phonocardiographic signals , 1990 .

[30]  N Colley,et al.  Biophysical profile in the fetus from a phonographic sensor. , 1986, European journal of obstetrics, gynecology, and reproductive biology.

[31]  Anupam Shukla,et al.  System simulation and comparative analysis of foetal heart sound de-noising techniques for advanced phonocardiography , 2007 .

[32]  Anil Kumar Tiwari,et al.  A review and comparative analysis of recent advancements in fetal monitoring techniques. , 2008, Critical reviews in biomedical engineering.

[33]  Ferenc Kovács,et al.  A rule-based phonocardiographic method for long-term fetal heart rate monitoring , 2000, IEEE Transactions on Biomedical Engineering.

[34]  Gábor Hosszú,et al.  Extended Noninvasive Fetal Monitoring by Detailed Analysis of Data Measured With Phonocardiography , 2011, IEEE Transactions on Biomedical Engineering.

[35]  D. P. Southall,et al.  THE FETAL PHONOGRAM: A MEASURE OF FETAL ACTIVITY , 1986, The Lancet.

[36]  A K Mittra,et al.  Selection of mother wavelet and denoising algorithm for analysis of foetal phonocardiographic signals , 2009, Journal of medical engineering & technology.

[37]  I. Johnstone,et al.  Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .

[38]  Ying Song,et al.  A portable phonocardiographic fetal heart rate monitor , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[39]  M. Godinez,et al.  On-line fetal heart rate monitor by phonocardiography , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[40]  Celia Shahnaz,et al.  Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains , 2012, Biomed. Signal Process. Control..

[41]  Marta Campanile,et al.  Regional and international prenatal telemedicine network for computerized antepartum cardiotocography. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[42]  Anil Kumar Tiwari,et al.  Development of a Signal Simulation Module for Testing of Phonocardiography Based Prenatal Monitoring Systems , 2009, 2009 Annual IEEE India Conference.