ECG Biometric Identification - A Review

Authors(2) :-Sunil Kumar, Bipan Kaushal

The electrocardiogram (ECG) is one of the latest biometric modality. This paper takes into account most of the technique which are applied to use the electrocardiogram as a biometric identification. Here we differentiate the approach based on features and classification scheme finally a comparative study of authentication performance of few ECG biometric is presented by using available database. The comparative analysis includes the cases where training and testing data is received from different sessions of same day or from different days. In this authentication process it is observed that most of the algorithm perform as per requirement when training data is received from the same session but a degradation occur when data is received from the different session. Due to degradation in performance, multiple training sessions are used.

Authors and Affiliations

Sunil Kumar
Electronics and communication Department, PEC University of technology, Chandigarh, India.
Bipan Kaushal
Electronics and communication Department, PEC University of technology, Chandigarh, India.

Identification, recognition, verification, classification, biometrics, ECG.

  1. Aboy, M. , Crespo, C. , McNames, J. , Bassale, J. , Jenkins, L. , and Goldsteins, B. (2002). A biomedical signal processing toolbox. In Biosignal’02. (pp. 49-52).
  2. Adams, M. D. (2002). The JasPer Project Home Page. Retrieved may 22, 2015, from http://www. ece. uvic. ca/_frodo/jasper/.
  3. Adams, Michael D. , and Faouzi Kossentini. "JasPer:A software-based JPEG-2000 codec implementation. " Image Processing, 2000. Proceedings. 2000 International Conference on. Vol. 2. IEEE, 2000.
  4. Agrafioti, F. and Hatzinakos, D. (2009). ECG biometric analysis in cardiac irregularity conditions. Signal, Image, Video Process. , 3(4):329-343.
  5. Biel, L. , Pettersson, O. , Philipson, L. , and Wide, P. (2001). ECG analysis:A new approach in human identification. IEEE Trans. Instrum. Meas. , 50(3):808-812.
  6. Bilgin, A. , Marcellin, M. W. , and Altbach, M. I. (2003). Compression of electrocardiogram signals using JPEG2000. IEEE Trans. Consum. Electron. , 49(4):833-840.
  7. Yang, M. , Liu, B. , Zhao, M. , Li, F. , Wang, G. , and Zhou, F. (2013). Normalizing electrocardiograms of both healthy persons and cardiovascular disease patients for biometric authentication. PloS one, 8(8):e71523.
  8. Thaler, M. S. (2012). The Only EKG Book You’ll Ever Need. Lippincott Williams & Wilkins, Philadelphia, 7th edition.
  9. Poree, F. , Kervio, G. , and Carrault, G. (2014). ECG biometric analysis in different physiological recording conditions. J. Signal, Image and Video Process.
  10. Odinaka, I. , Lai, P. H. , Kaplan, A. D. , OSullivan, J. A. , Sirevaag, E. J. , and Rohrbaugh, J. W. (2012). ECG biometric recognition:A comparative analysis. IEEE Trans. Inform. Forensic Secur. , 7(6):1812-1824
  11. Nymi Inc. (2013). Nymi white paper. Retrieved may 22, 2015, from https://www. nymi. com/wp-content/uploads/2013/11/nymiwhitepaper-1. pdf.
  12. Linear Dimensions Inc. (2015). Biometric ECG security devices. Retrieved may 22, 2015, from http://www. lineardimensions. com/securitycardfinal. pdf.
  13. Chiu, C. C. , Chuang, C. M. , and Hsu, C. Y. (2009). Discrete wavelet transform applied on personal identity verification with ECG signal. Int. J. Wavelets Multi. , 7(3):341-355. York.
  14. Chang, C. C. and Lin, C. J. (2011). LIBSVM:A library for support vector machines. ACM Trans. Intell. Syst. Techn. , 2(3):27.
  15. Sufi, F. and Khalil, I. (2011). Faster person identification using compressed ECG in time critical wireless telecardiology applications. J. Netw. Comput. Appl. , 34(1):282-293.
  16. Sun, C. C. and Tai, S. C. (2005). Beat-based ECG compression using gain-shape vector quantization . IEEE Trans. Biomed. Eng. , 52(11):1882-1888.
  17. Bilgin, A. , Marcellin, M. W. , and Altbach, M. I. (2003). Compression of electrocardiogram signals using JPEG2000. IEEE Trans. Consum. Electron.

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 516-519
Manuscript Number : IJSRSET1738101
Publisher : Technoscience Academy

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

Cite This Article :

Sunil Kumar, Bipan Kaushal, " ECG Biometric Identification - A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.516-519, November-December-2017. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1738101

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