Efficient Artifact Elimination in Cardiac Signals using Variable Step Size Adaptive Noise Cancellers

In this paper several variable step size adaptive filter structures for extracting high resolution electrocardiographic ECG signals are presented which estimates the deterministic components of the ECG signal and removes the artifacts. The noise canceller minimizes the mean square error MSE between the input noisy ECG signal and noise reference. Different noise canceller structures are proposed to remove diverse forms of artifacts: power line interference, baseline wander, muscle artifacts and electrode motion artifacts. The proposed implementation is suitable real time applications, where large signal to noise ratios with fast convergence are required. Simulation studies shows that the proposed realization gives better performance compared to existing realizations in terms of signal to noise ratio, convergence rate and MSE.

[1]  Yonggang Zhang,et al.  NEW GRADIENT BASED VARIABLE STEP-SIZE LMS ALGORITHM , 2006, 2006 8th international Conference on Signal Processing.

[2]  N.V. Thakor,et al.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection , 1991, IEEE Transactions on Biomedical Engineering.

[3]  Azzedine Zerguine,et al.  Convergence and steady-state analysis of a variable step-size NLMS algorithm , 2003, Signal Process..

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

[5]  Alexander Schlaefer,et al.  A Fast Lane Approach to LMS prediction of respiratory motion signals , 2008, Biomed. Signal Process. Control..

[6]  Yonggang Zhang,et al.  A new variable step-size NLMS algorithm designed for applications with exponential decay impulse responses , 2008, Signal Process..

[7]  Ali H. Sayed,et al.  Variable step-size NLMS and affine projection algorithms , 2004, IEEE Signal Processing Letters.

[8]  Ching-An Lai.  NLMS algorithm with decreasing step size for adaptive IIR filters , 2002, Signal Process..

[9]  Raymond H. Kwong,et al.  A variable step size LMS algorithm , 1992, IEEE Trans. Signal Process..

[10]  Jacob Benesty,et al.  Variable Step-Size NLMS Algorithm for Under-Modeling Acoustic Echo Cancellation , 2008, IEEE Signal Processing Letters.

[11]  P.S. Hamilton,et al.  A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG , 1996, IEEE Transactions on Biomedical Engineering.

[12]  Ali H. Sayed,et al.  Adaptive Filters , 2008 .

[13]  Jacob Benesty,et al.  A New Robust Variable Step-Size NLMS Algorithm , 2008, IEEE Transactions on Signal Processing.

[14]  Tyseer Aboulnasr,et al.  A robust variable step-size LMS-type algorithm: analysis and simulations , 1997, IEEE Trans. Signal Process..

[15]  Amine Nait-Ali.  Advanced Biosignal Processing , 2009 .

[16]  Rafi Ahamed Shaik,et al.  Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry , 2011, Signal Process..

[17]  S. Poornachandra,et al.  Subband-Adaptive Shrinkage for Denoising of ECG Signals , 2006, EURASIP J. Adv. Signal Process..

[18]  Ivan Dotsinsky,et al.  Power-line interference elimination from ECG in case of non-multiplicity between the sampling rate and the power-line frequency , 2008, Biomed. Signal Process. Control..

[19]  Feng Li,et al.  A Variable Step-Size Matrix Normalized Subband Adaptive Filter , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[20]  Pablo Laguna,et al.  Steady-state MSE convergence of LMS adaptive filters with deterministic reference inputs with applications to biomedical signals , 2000, IEEE Trans. Signal Process..

[21]  M. Z. U. Rahman,et al.  Efficient and Simplified Adaptive Noise Cancelers for ECG Sensor Based Remote Health Monitoring , 2012, IEEE Sensors Journal.

[22]  Ali H. Sayed,et al.  Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm , 2008, IEEE Transactions on Signal Processing.

[23]  Marian Kotas,et al.  Application of projection pursuit based robust principal component analysis to ECG enhancement , 2006, Biomed. Signal Process. Control..

[24]  Behrouz Farhang-Boroujeny,et al.  A new class of gradient adaptive step-size LMS algorithms , 2001, IEEE Trans. Signal Process..