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2022 | 166 | 116-131

Article title

Reducing Powerline Interference in Electrocardiogram Signal using Optimized Trapezoid Window Based Digital Finite Impulse Response Filter


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Electrocardiogram (ECG) is a biomedical signal that provides vital information about the condition of heart. However, different artifacts such as powerline interference, electrode contact noise, motion artifacts, muscle contraction and base line drift usually distort the ECG signal leading to inaccurate diagnoses of patient ECG. The most significant interference that corrupts the ECG is powerline Interference. Hence, this paper present the design of finite impulse response (FIR) digital notch filter with optimized trapezoid window for the removal of power line noise from ECG signals. The three ECG signals records (100MLII, 124MLII and 200MLII) used for the simulation were taken from MIT-BIH Arrhythmia database. These ECG records were then corrupted with 50Hz powerline noise generated in MATLAB and filtered using the proposed filter. A comparative analysis of the FIR notch filter designed with the optimized trapezoid window with the FIR notch filters developed with the other window types shows that the proposed filter displays an improved signal to noise ratio (SNR) of 25.2070 dB, 31.9562 dB, 28.6152 dB for the three ECG signals records (100MLII, 124MLII and 200MLII) respectively.






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  • Electrical Research & Development / Maintenance Unit, Scientific Equipment Development Institute, Enugu, Nigeria
  • Department of Electronic & Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria
  • Electrical Research & Development / Maintenance Unit, Scientific Equipment Development Institute, Enugu, Nigeria


  • [1] Chinchkhed, K.D, Govind Sharan Yadav, Hirekhan, S.R and Solanke, D.R. On the Implementation of FIR Filter with various Windows for Enhancement of ECG signal. International Journal of Engineering Science and Technology vol. 3, no. 3, pp. 2031-2040, 2011
  • [2] Dhayabarani, R., P. Balachandar, R. Arunkumar and M. Elakkiyaselvan. Design of FIR Filter for Reduction of Power Line Interference from ECG Signal. 2018 Second International Conference on Inventive Communication and Computational Technologies, 2018, pp. 1205-1208, doi: 10.1109/ICICCT.2018.8472991
  • [3] Duong, T. L. & Nguyen, D. T. and Dang, H.H. Removal of Power line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm. Global Journal of Computer Science and Technology: C Software & Data Engineering, vol. 15, no. 2, 2015.
  • [4] Joshi, S.L., Vatti, R.A. and Tornekar, R.V. A survey on ECG signal denoising techniques. IEEE Computer Society, International Conference on Communication Systems and Network Technologies, pp. 60 – 64, 2013.
  • [5] Kadam, G.and Bhaskar, P.C. Reduction of Power line Interference in ECG signal using FIR Filter. International Journal of Computational Engineering Research, vol. 2, no. 2, pp. 314-319, 2012
  • [6] Karmaker, T., Anower, M.S., Khan, M.A.G. and Habib, M.A. A new adjustable window function to design FIR filter and its application in noise reduction from contaminated ECG signal. IEEE Region 10 Humanitarian Technology Conference (R10-HTC), pp. 51-54, doi: 10.1109/R10-HTC.2017.8288904., 2017.
  • [7] Lin .Y and Hu,Y.H. Power-Line Interference Detection and Suppression in ECG Signal Processing. IEEE Transactions on Biomedical Engineering, vol. 55, no. 1, pp. 354-357, Jan. 2008, doi: 10.1109/TBME.2007.902234
  • [8] Mahesh, S. C., Agarwala, R and Uplane M.D. Use of Kaiser window for ECG processing. Proceedings of the 5th WSEAS Int. Conf. on signal Processing, Robotics and Automation, Madrid, Spain, pp 285-289, 2006
  • [9] Mahesh, S. C., Ragarwala, R.A. and Uplane, M.D. Rectangular window for Interference Reduction in ECG. Proceedings of the 7th WSEAS International Conference on Signal processing (SIP'08), Istanbul, Turkey, pp. 110-114. 2008.
  • [10] Mittal, A. and Rege, A.Design of digital FIR filter implemented with window techniques for reduction of power line interference from ECG signal. International Conference on Computer, Communication and Control (IC4), 2015, pp. 1-4, doi: 10.1109/IC4.2015.7375535
  • [11] Panda, I.R. and Pati, U.C. Removal of artifacts from electrocardiogram using digital filter. IEEE Students' Conference on Electrical, Electronics and Computer Science, pp. 1-4, 2012. doi: 10.1109/SCEECS.2012.6184767
  • [12] Shama, S.S., Kumar, A. and Kumar,Y. Hamming filter design for ecg signal detection and processing using co-simulation. International Conference on Computing, Communication and Automation (ICCCA), pp. 1029-1034, 2017. doi: 10.1109/CCAA.2017.8229992
  • [13] Thakor, N.V. Application of adaptive filtering to ECG Analysis: Noise Cancellation and Arrhythmia Detection. IEEE Transactions on Biomedical Engg, vol. 38, no. 8, pp. 785-794, AUGUST 1991
  • [14] Van Alste, J.A and Schilder, T.S. Removal of Base-Line Wander and Power-Line Interference from the ECG by an Efficient FIR Filter with a Reduced Number of Taps. IEEE Transactions on Biomedical Engineering, vol. BME-32, no. 12, pp. 1052-1060, Dec. 1985, doi: 10.1109/TBME.1985.325514
  • [15] Ziarani, A. K and Konrad A. A nonlinear adaptive method of elimination of power line in ECG signals. IEEE Trans Biomed Eng. 2002 Jun; 49(6): 540-7

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