Power Line Interference Removal from ECG Signal Using Notch Filter, Adaptive Filter and Wavelet Packet Transform

  • Uzzal Biswas Electronics and Communication Engineering Discipline, Khulna University, Khulna – 9208, Bangladesh
  • Md. Maniruzzaman Electronics and Communication Engineering Discipline, Khulna University, Khulna – 9208, Bangladesh
Keywords: ECG signal, power line interferrence, wavelet packet transform, SNR, %PRD, MSC


ECG signal is a biological non-stationary signal which contains valuable information about rhythms of heart. Amplitude and duration of ECG signal can be buried by various types of noise, especially, power line interference, which sometimes leads to misdiagnosis. This paper presents a ECG signal denoising based on the wavelet packet transform and two adaptive filters, such as, normalized least-mean-square (NLMS) and recursive-least-square (RLS), and the results are compared with a conventional notch filter both in time and frequency domain.


E. T. Gar, C. Thomas and M. Friesen, “Comparison of Noise Sensitivity of QRS Detection Algorithms,” IEEE Tran. Biomed. Eng., vol. 37, no.1, pp. 85-98, January 1990.

R. Panda, “Removal of Artifacts from Electrocardiogram using Digital Filter,” Electrical, Electronics and Computer Science (SCEECS), IEEE Students Conference, pp. 1-4, March 1-2, 2012.

M. S. Chavan, R. Agarwala, M. D. Uplane, and M. S. Gaikwad, “Design of ECG Instrumentation and Implementation of Digital Filter for Noise Reduction,” World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, vol. 1, no. 157-474, pp. 47-50, January 2004.

R. Limacher, “Removal of Power Line Interference from the ECG Signal by an Adaptive Digital Filter,” in Proc. of European Tel. Conf., Garmisch-Part, pp. 300-309, May 21-23, 1996.

C. Chandrakar and M.K. Kowar,“Denoising ECG signals using Adaptive Filter Algorithm,” Int. J. of Soft Computing and Engineering. (IJSCE), vol. 2, no. 1, pp. 120-123, March 2012.

D. V. R. K. Reddy, M. Z. U. Rahman, Y. Sangeetha, and N. S. Sudha, “Base Line Wander and Power Line Interference Elimination from Cardiac Signals Using a Novel LMS Algorithm Based On Differential Inputs and Errors,” Int. J. of Advanced Eng. and Appl.., pp. 187-191, January 2011.

A. B. Sankar, D. Kumar and K. Seethalakshmi, “Performance Study of Various Adaptive Filter Algorithms for Noise Cancellation in Respiratory Signals,” An International Journal(SPIJ), vol. 4, no. 5, pp. 267-278, 2010.

M. Z. U. Rahman, R. A. Shaik and D. V. R. K. Reddy, “Noise Cancellation in ECG Signals using Computationally Simplified Adaptive Filtering Techniques: Application to Biotelemetry,” An Int. J. (SPIJ,) vol. 3, pp.120-131, 2009. [9] G. Sundeep and U. V. R. Kumari, “Reduction of Power Line InterferencebyUsingAdaptiveFilteringTechniques in Electrocardiogram,” Int. J. of Innovative Technology and Exploring Engineering (IJITEE), vol.1, pp. 83-86, October 2012 .

M. Ustundag, M. Gokbulut, A. Sengur and F. Ata, “Denoising of weak ECG signals by using wavelet analysis and fuzzy thresholding,” Network Modeling Analysis in Health Informatics and Bioinformatics, Springer-Verlag, vol. 1, no. 4, pp 135-140, December, 2012.

Z. G. Sallo, “Nonlinear Filtering in ECG Signal Denoising,” Acta Universitatis Sapientiae Electrical and Mechanical Engineering, vol. 2, pp. 136-145, 2010.

M. Maniruzzaman, K. M. S. Billah, U. Biswas, and B. Gain, “Least-mean-square algorithm based adaptive filters for removing power line interference from ECG signal,” ICIEV’12, paper 410, p. 737-740, May 18-19, 2012.

U. Biswas and M. Maniruzzaman, “Removing Power Line Interference from ECG Signal Using Adaptive Filter and Notch Filter,” ICEEICT’14, paper 223, April 10-12, 2014.

U. Biswas, A. Das, S. Debnath and I. Oishee, “ECG Signal Denoising by Using Least-Mean-Square and Normalized-Least-Mean-Square Algorithm Based Adaptive Filter,” ICIEV’14, Paper 62, May 23-24, 2014.

M. Kaur and B. Singh, “Power Line Interference Reduction in ECG Using Combination of MA Method and IIR Notch Filter,” Int. J. of Recent Trends in Eng., vol. 2, no. 6, pp. 125-129, November 2009.

http://www.physionet.org/physiobank/database/mitdb/ MIT-BIH Arrhythmia Database Website. Available [Online]: (viewed at 10.10.2013 at 10.15 PM).

Y. Kumar and G. K. Malik, “ Performance Analysis of Different Filters for Power Line Interface Reduction in ECG Signal,” Int. J. of Computer Appl. , vol. 3, no.7, pp. 1-6, June, 2010.

V. S. S. R. Ogireddy and Dr. I. S. Prabha, “Noise Suppression from ECG Signal Using LMS and RLS Technique,” Int. J. of Advanced and Innovative Research, vol. 1, Issue 2, July, 2012.
Review Article