Reduction Of Power Line Humming And High Frequency Noise From Electrocardiogram Signals
Mohammed Nabil Abdalazim Mursi, Dr. Mohamed H. M. Nerma
Index Terms: Power line interference, adaptive filtering, LMS, DSP, hum, high frequency noise, ECG, general notch rejection filters.
ABSTRACT: With the latest advancements in electronics, several techniques are used for removal of unwanted entities from signals especially that are implied in the most complicated applications. The removal of power line interference from most sensitive medical monitoring equipments can also be achieved by implementing various useful techniques. The power line interference (50/60 Hz) is the main source of noise in most of bio-electric signals. The thesis report presents the removal of power line interference and other single frequency tones from ECG signal using the advanced adaptive filtering technique with least mean square (LMS) algorithm. The thesis is based on digital signal processing (DSP) techniques with MATLAB package. The MATLAB package will be used in the thesis work which is a powerful tool for the interactive design in most of the scientific applications and complex engineering calculations. In addition so as to achieve the goal of thesis, the removal of harmonics (hum) and high frequency noise from ECG signal by using general notch rejection filters is investigated and implemented.
 http://www4.ncsu.edu/~xzhang11/PDF/525_proj1.pdf , Accessed on 2015-02-10
 Dr. A. Michael Noll, Technological Challenges of Power Line, California, Telecommunication, Annenberg School of Communication at the University of Southern Los Angeles, 2002.
 Nitish V . Thakor, Senior Member and Yi-Sheng Zhu, Senior Member, Applications of Adaptive Filtering to ECG Analysis, Noise Cancellation and Arrhythmia Detection, IEEE, August 1997
 Anna Esposito, Pierluigi D. Andria, An Adaptive Learning Algorithm for ECG Noise, Springer Berlin Heidelberg, 2003.
 http://www2.netdoctor.co.uk/health_advice/examinations/ecg.htm Accessed on 2008 09-13
 http://www.essortment.com/all/howhumanheart_roua.htm Accessed on 2008-11-23
 http://blog.timpanogosregionalhospital.com/blog/2013/03/01/the-power-of-electricity-in-healing-the-human-heart/, Accessed on 2015-3-1
 D.C Raddy, Biomedical signal processing, Tata McGraw – Hill 2008.
 http://www.eng.nus.edu.sg/EResnews/0410/sf/sf_7.html Accessed on 2008-11-23
 http://www.planetoftunes.com/sound-audio-theory/complex-soundwaves.html#.VRc-nuZtOd0, Accessed on 2015-1-17
 Cedric Keip, Design of a Finite Impulse Response Filter Coefficients Computation Tool Using Evolutionary Strategies and Extension to Filter Bank Design, 2004
 Terrell, Trevor J., Introduction to Digital Filters, Second Edition, London: Macmillan, 1980
 Edward P. Cunningham, Digital Filtering An Introduction, John Wiley & Sons, Inc. 1995
 C.F.N. Cowan, P.M Grant, Adaptive Filters, United States of America, Prentice Hall, Inc. 1985
 Hakan Johansson, Synthesis and Realization of High-Speed Recursive Digital Filters, University of Linkoping, Sweden, 1998
 Paulo S.R. Diniz, Adaptive Filtering Algorithm and Practical Implementation, Kluwer Academic Publishers, 1997
 N. Kalouptsidis. Adaptive System Identification and Signal Processing Algorithm, and S. Theodoridis, Prentice Hall Inc.,1993.
 L. Guo, L. Ljung, G.J. Wang, Necessary and Sufficient Condition for Stability of LMS, Department of Electrical Engineering, Linkoping University, Sweden, 1995
 Monson H. Hayes, Statistical Digital Signal Processing and Modeling, Wiley & Sons, New York, 1996
 Simon Haykin, Adaptive Filter Theory, Fourth Edition, Prentice Hall, Inc 2002
 S. J. Yoo, J.B. Park and Y.H. Choi, “Self predictive control of chaotic systems using self recurrent wavelet neural network”, International journal of control, automation and systems, vol. 3 , no. 1, March 2005.
 Charles Le and Scott Hensley. RFI removal from AIRSAR polarimetric data, Jet Propulsion Laboratory California Institute of Technology, 2002
 Yatindra Kumar, Assistant Professor, Department of EEE, G.B.Pant Engg College,Pauri (U.K)India, Gorav Kumar Malik, Research Scholar, Department of EEE, G.B.Pant Engg College,Pauri (U.K)India,Performance Analysis of different Filters for Power Line Interface Reduction in ECG Signal, International Journal of Computer Applications (0975 – 8887) Volume 3 – No.7, June 2010
 Suhash Chandra Dutta Roy, Balbir Kumar and Shail Bala Jain FACTA UNIVERSITATIS (NIS), FIR NOTCH FILTER DESIGN-A REVIEW Series: Electronics and Energetics vol. 14, No. 3, December 2001, 295-327
 Sheeraz Gul Tareen, Removal of Power Line Interference and other Single Frequency Tones from Signals, Mälardalen University, Sweden 2008
 Farhang Boroujeny, B. Adaptive Filters: Theory and Applications, Chichester John Wiley and Sons, 1998
 John L. Semmlow, Robert Brunswick, Biosignal and Biomedical Image Processing Matlab-Based Applications, New Jersey, U.S.A. Rutgers University, Piscataway, 2004
 Per Sjösten, Adaptive Noise Control Using The LMS Algorithm, Chalmer University of Technology, 1987
 W. Kenneth Jenkins, Andrew W. Hull, Jeffrey C. Strait, Bernard A. Schnaufer, Xiaohui Li, Advanced Concept in Adaptive Signal Processing, Kluwer Academic Publisher 1996
 Haykin, S. Adaptive Filter Theory. Third Edition. New Jersey: Prentice-Hall, Inc.1996