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Uniform Sampling of ECG Waveform of MIT-BIH Normal Sinus Rhythm Database at Desired Intervals

by Jitu Sharma, Vikash Kumar, Shahanaz Ayub, J. P. Saini
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 15
Year of Publication: 2012
Authors: Jitu Sharma, Vikash Kumar, Shahanaz Ayub, J. P. Saini
10.5120/7845-0912

Jitu Sharma, Vikash Kumar, Shahanaz Ayub, J. P. Saini . Uniform Sampling of ECG Waveform of MIT-BIH Normal Sinus Rhythm Database at Desired Intervals. International Journal of Computer Applications. 50, 15 ( July 2012), 6-9. DOI=10.5120/7845-0912

@article{ 10.5120/7845-0912,
author = { Jitu Sharma, Vikash Kumar, Shahanaz Ayub, J. P. Saini },
title = { Uniform Sampling of ECG Waveform of MIT-BIH Normal Sinus Rhythm Database at Desired Intervals },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 15 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number15/7845-0912/ },
doi = { 10.5120/7845-0912 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:48:21.792941+05:30
%A Jitu Sharma
%A Vikash Kumar
%A Shahanaz Ayub
%A J. P. Saini
%T Uniform Sampling of ECG Waveform of MIT-BIH Normal Sinus Rhythm Database at Desired Intervals
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 15
%P 6-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

MIT-BIH Database is the standard ECG database which is used universally for ECG analysis purpose. MIT-BIH database for normal sinus rhythm is sampled at 128 Hz and the data is available at uniform intervals of 7. 8125 ms. To use this data for analysis purpose with various techniques like artificial neural networks, correlation techniques etc. , it is required to have samples at desired intervals. Hence this paper proposes an image processing method to convert the samples at desired intervals, so that the MIT-BIH database can be used widely and universally.

References
  1. http://www. physionet. org/cgi-bin/atm/ATM, "MIT-BIH Normal Sinus Rhythm Database (nsrdb)".
  2. Shahanaz Ayub, J. P. Saini, 'Fusion Beats extraction from ECG using Neural Network based soft computing Techniques', published in International Journal of Advances in Applied Science Research', Coden (USA),2010,1(2), pp 76-83.
  3. Shahanaz Ayub, J. P. Saini, 'ECG classification and Abnormality Detection using Cascade Forward Neural Network" in International Journal of Engineering, Science & Technology, 2011,Vol. 3, No. 3, pp. 41-46.
  4. Jalel Chebil, Jamal Al-Nabulsi, Mohammed Al-Maitah, "A Novel Method for Digitizing Standard ECG Papers", Proceedings of the International Conference on Computer and Communication Engineering pp. 1308-1312, 2008.
  5. MATLAB Simulink Help, The MathWorks, Inc. , MATLAB 7. 12. 0 (R2011a).
  6. Sucharita Mitra, M Mitra , "An Automated Data Extraction System From 12 Lead ECG Images", Computer Methods and Programs in Biomedicine, (Elsevier Science publication), vol. 71(1), May(2003), pp 33-38.
  7. Ali S. A. Al-Mejrad, "Bio-Potential Signal Extraction from Multi-Channel Paper Recorded Charts", American Journal of Applied Sciences, 8(6), pp. 520-524. 2011
Index Terms

Computer Science
Information Sciences

Keywords

ECG Database Uniform sampling Image processing

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