Features Extraction Using Difference Operation Method from ECG Signal to Detect Cardiac Arrhythmia

Authors(2) :-Udybir, Bipan Kaushal

Electrocardiogram (ECG) feature extraction plays an important part to find out most of the heart related diseases. An Electrocardiogram wave consist P, QRS and T segments. The electrical impulse generates by Sino-atrial node in the heart. Arrhythmia is one of the common heart related problems which can be detected by the analysis of electrocardiogram of a person. The working of human heart can easily understand with the help of magnitude and intervals value of P, QRS and T waves. The electrocardiogram data used in this research consists of normal and abnormal signals.ECG signals first filtered by IIR notch to remove the artifacts. After filtering, QRS complex of an ECG signal identified. For detection of QRS complex we used DOM (difference operation method). After successfully detection of QRS complex we calculated its R-peak, sharpness, slope and duration. For the classification purpose we used linear classifier in which the ECG data were divided into two partition-one for trained the data called training set in which we used 75% data to trained the classifier and another for test the data called test set in which we used 25% data to test the classifier and classify the normal and arrhythmia signals. The accuracy achieved in this method is 95.30%, sensitivity 96.09% and specificity 96.87%.

Authors and Affiliations

Udybir
Electronics and Communication Department, PEC University of Technology, Chandigarh, India
Bipan Kaushal
Electronics and Communication Department, PEC University of Technology, Chandigarh, India

Electrocardiogram (ECG), Difference operation method (DOM), QRS complex, Arrhythmia.

  1. Salam, K.A. and Srilakshmi, G.,2015, An algorithm for ECG analysis of arrhythmia detection, In  Electrical, Computer and Communication Technologies (ICECCT),IEEE International Conference on biomedical engineering, pp. 1-6.
  2. Rodríguez, R., Mexicano, A., Bila, J., Cervantes, S. and Ponce, R., 2015, Feature extraction of   electrocardiogram signals by applying adaptive threshold and principal component analysis, Journal of applied research and technology, 13(2), pp.261-269.
  3. Paul, A. and Jha, J., 2013. ECG Signal Acquisition and Processing System, International Journal of Electrical, Electronics and Computer Engineering,2(2), pp.62-65.
  4. Y.C. Yeha, and W. J. Wang, “QRS complexes detection for ECG signal The Difference Operation Method(DOM),” Computer methods and programs in biomedicine, vol. 9, pp. 245–254, 2008.
  5. R.M. Rangayyan, Biomedical Signal Analysis: A Case-study Approach, Wiley–Interscience, New York, pp.18–28, 2001.
  6. July2016,Electrocardiogram,Wikipedia,Available:https://en.wikipedia.org/wiki/Electrocardiography,Accessed:November 2016.
  7. www.physionet.org

Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 460-466
Manuscript Number : IJSRSET1733105
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Udybir, Bipan Kaushal, " Features Extraction Using Difference Operation Method from ECG Signal to Detect Cardiac Arrhythmia, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.460-466, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET1733105

Follow Us

Contact Us