CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter

by Sonal K. Jagtap, M.d.uplane and
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 9
Year of Publication: 2012
Authors: Sonal K. Jagtap, M.d.uplane and
10.5120/7659-0763

Sonal K. Jagtap, M.d.uplane and . A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter. International Journal of Computer Applications. 49, 9 ( July 2012), 52-53. DOI=10.5120/7659-0763

@article{ 10.5120/7659-0763,
author = { Sonal K. Jagtap, M.d.uplane and },
title = { A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 9 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 52-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number9/7659-0763/ },
doi = { 10.5120/7659-0763 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:53.086977+05:30
%A Sonal K. Jagtap
%A M.d.uplane and
%T A Real Time Approach: ECG Noise Reduction in Chebyshev Type II Digital Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 9
%P 52-53
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is well known that biomedical signals carry important information about the behavior of the living systems under study. With the analysis of the Electrocardiogram (ECG) signal it may be possible to predict heart problems or monitor patient recovery after a heart intervention. A proper processing of these signals enhances their physiological and clinical information. The quality of biomedical signal is degraded mainly by many sources of noise such as power line interference (PLI), baseline drift, muscle contraction noise etc. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Different artifacts are the reason in corruption of the ECG signal. Removing noise from the biomedical signal is still challenging and a rapidly expanding field with a wide range of applications in ECG noise reduction. Present paper deals with the design of Chebyshev Type II filters including low pass, high pass, notch filters. Also the performance is tested using cascading of filters. For real time application 1711 add on card is used. Different ECG signals from MIT/BIH arrhythmia database are used for validation and compared with real time ECG signals. The objective of this paper is to implement the Chebyshev Type II digital filter to overcome degradation by improving ECG signal quality for quality clinical diagnosis. Finally results indicate noise reduction in the ECG.

References
  1. Ferdjallah M. , Barr R. E. , "Frequency domain digital filtering techniques for the removal of powerline noise with application to the electrocardiogram", Comput. Biomed Res. 1990 Oct. , 23(5), 473-489.
  2. Sornmo L. , "Time-varying digital filtering of ECG baseline wanders", Med. Biol Eng Comput. , 1993 Sept. , 31(5), 503-508.
  3. McManus C D, Neubert K D,Cramer E, "Characterization and elimination of AC noise in electrocardiograms : a comparison of digital filtering methods" Comput. Biomed Res. , 1993 Feb. , 26(1), 48-67.
  4. Patrica Arand, "Method and apparatus for removing baseline wander from an ECG signal" , US patent Issued on June 7, 1994.
  5. Pei S. C. , Tseng C. C. , "Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression" IEEE Trans Biomed Eng. , 1995 Nov, 42(11), 1128-1132.
  6. Hamid Gholam,Hosseini, Homer Nazeran, Karen J. Reynolds, "ECG noise cancellation in using digital filter", 2nd international Conference on biomagnetism, 1998 Feb, Melbourne, Australia, pp. 151-152.
  7. Ziarani a. K. , Konard A. , "A nonlinear adaptive method of elimination of powerline interference in ECG signals", IEEE Trans Biomed Eng. , 2002 Jun, 49(6), 540-547
  8. Mitov I. P. , "A method for reduction of power line interference in the ECG" ,Med Eng Phys. , 2004 Dec. , 26(10), 879-887.
  9. Yong Lian, Poh Choo Ho. , "ECG noise reduction using multiplier free digital filter" ,ICSP`04 proceedings IEEE conference 2004, 2198-2201.
  10. Lisette P. Harting, Nikolay M. Fedotov, Cornelis H. Slump, "On baseline drift suppression in ECG recording" ,Proceeding of IEEE Benelux Signal Processing Symposium 2004,pp. 133-136.
  11. Dotsinky I. , Stayanov T. , "Power-line interference cancellation in ECG signals"' Biomed Instrum Technol. 2005 Mar,39(2),155-162.
  12. Jacek M. Leski, Norbert Hezel, " ECG baseline wander and power line interference reduction using nonlinear filter band" , Signal Processing, Elsevier, 85(2005), 781-793.
  13. Lu G. , Brittan J-S, Holland P. , Yianni J. , Green A. L. , Stein J. F. , Aziz T. Z. , Wang S. , "Removing ECG noise from surface EMG signals using adaptive filtering", Neuroscience letters. 2009, 462, 14-19.
  14. Gautam A. , Lee H-J, Chung W. Y. , "ECG signal denoising with asynchronous averaging and filtering algorithm", International Journal of Healthcare Information Systems and Informatics. 2010 April-Jun; 5(2), 30-36.
  15. Sorensen J. S. , Johannesen L. , Grove U. S. L, Lundhus K. , Couderc J-P, Graff C. , "A comparison of IIR and wavelet filtering for noise reduction of the ECG", Comput Cardiol. 2010 Sept. 26, 37, 489-492.
  16. Gupta R. , Bera J. N. , Mitra M. , "Development of an embedded system and MATLAB based GUI for online acquisition and analysis of ECG signals", Measurement 2010, 43, 1119-1126.
  17. Luo S. , Jhonston P. , "A review of electrocardiogram filtering", J. Electrocardiol. 2010, 43, 486-496.
  18. Database:www. physionet. org/physiobank/database/mitdb.
Index Terms

Computer Science
Information Sciences

Keywords

Biomedical Signal ECG PLI Chebyshev Type II Digital Filter

Powered by PhDFocusTM