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Mitigation of interference from ECG: A Review

by Shifa Kaushal, Amanjot Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 9
Year of Publication: 2016
Authors: Shifa Kaushal, Amanjot Singh
10.5120/ijca2016909802

Shifa Kaushal, Amanjot Singh . Mitigation of interference from ECG: A Review. International Journal of Computer Applications. 141, 9 ( May 2016), 26-30. DOI=10.5120/ijca2016909802

@article{ 10.5120/ijca2016909802,
author = { Shifa Kaushal, Amanjot Singh },
title = { Mitigation of interference from ECG: A Review },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 9 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number9/24814-2016909802/ },
doi = { 10.5120/ijca2016909802 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:05.036246+05:30
%A Shifa Kaushal
%A Amanjot Singh
%T Mitigation of interference from ECG: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 9
%P 26-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

ECG (Electrocardiography) presented the electrical activity of heart and it gives us the information about heart rate. There are various types of artifacts which are inherently added to the ECG and due to which the important information of patient’s health status can be lost. During the analysis of ECG data the noise reduction in ECG is one of the important problem. As the ECG plays an important role in analyzing the health status of humans, hence ECG needs an effective denoising technique. In this paper, review on various methods of mitigation of noise from ECG signal has been done.

References
  1. R. Acharya, J. S. Suri, J. A.E. Spaan and S .M. Krishnan, “Advances in Cardiac Signal Processing”, 2007 edition, Springer Berlin Heidelberg, New York , ISBN: 3-540-36674-1.
  2. J. Moss and S. Stern., “Non-invasive electrocardiology: Clinical aspects of holter monitoring”, 1st edition, 1996, W.B. Saunders, Philadelphia, ISBN: 9-7020-1925-9.
  3. Alireza K Ziarani, Adaibert Konrad, ‘Non linear Adaptive method of elimination of power line interference in ECG signals’, IEEE Transactions on Biomedical Engg, Vol.49, No.6, June 2002, pp. 540-544. © 2010 International Journal of Computer Applications (0975 – 8887) Volume 1– No.14 16.
  4. Mallat, S. G. A Wavelet Tour of Signal Processing (2nd ed.). San Diego: Academic Press, 1999.
  5. Prakruti J. Joshi, Vivek P. Patkar, Akshay B. Pawar, Prasad B. Patil, Prof. Bagal U. R., Prof. Bipin D. Mokal,” ECG Denoising Using MATLAB” International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013 1401 ISSN 2229-5518
  6. K. Satyanarayana, A.D.Sarma, P.Naga Praveen, M. Malini, D. Krishna Reddy,” Mitigation of Cellular Phone Interference in ECG During Emergency Patient Transportation” Cardiovascular Engineering and Technology, Vol. 4, No. 4, December 2013 (_ 2013) pp. 544–552 DOI: 10.1007/s13239-013-0159.
  7. Galya Georgieva-Tsaneva, Krassimir Tcheshmedjiev,”Denoising of Electrocardiogram Data with Methods of Wavelet Transform”InternationalConference on Computer Systems and Technologies - CompSysTech’13.
  8. Akanksha Deo, DBV Singh, Manoj Kumar Bandil, Dr. A K Wadhwani,” Denoising of ECG Signals with AdaptiveFiltering Algorithms & Patch Based Method” IRACST – International Journal of Computer Networks and Wireless Communications (IJCNWC), ISSN: 2250-3501 Vol.3, No3, June 2013.
  9. E.-S. A. El-Dahshan,”Genetic algorithm and wavelet hybrid scheme for ECG signal denoising” Telecommun. Syst., vol. 46, no. 3, pp. 209–215, Mar. 2011.
  10. H. A.Kestler,M.Haschka,W.Kratz, F. Schwenker, G. Palm,V.Hombach, and M. Hoher,”De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter” Comput. Cardiol., vol. 25, pp. 233–236, Sep. 1998.
  11. J.T.Catalano, (2002), Guide to ECG Analysis, 2nd edition, Lippincott Williams & Wilkins, Philadelphia, ISBN-0-7817-2930-0.
  12. J. Moss, S. Stern, (1996), Non-invasive electrocardiology: Clinical aspects of holter monitoring, 1st edition, W.B. Saunders, Philadelphia, ISBN: 9-7020-1925-9.
  13. P. E. McSharry, G. D. Clifford, L. Tarassenko,L. A. Smith, (2003), A dynamical model for generating synthetic elctrocardiogram signals, IEEE Transactions on Biomedical Engineering, vol. 50, no.3, pp.289-294.
  14. Acharya, R., Bhat, P. S., Iyengar, S. S., Roo, A.Dua, (2002), Classification of heart rate data using artificial neural network and Fuzzy equivalence relation, The Journal of the Pattern Recognition Society.
  15. E. N. Bruce, (2001), Biomedical Signal Processing and Signal Modeling. New York: Wiley.
Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram (ECG) signal Electromyography (EMG) WT LMS NLMS RLS.

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