Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2015 (2015), Article ID 135676, 13 pages
http://dx.doi.org/10.1155/2015/135676
Research Article

Personal Verification/Identification via Analysis of the Peripheral ECG Leads: Influence of the Personal Health Status on the Accuracy

1Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Street Bl 105, 1113 Sofia, Bulgaria
2Institute of Neuroscience (IN), CNR, 35127 Padova, Italy

Received 3 April 2015; Accepted 15 September 2015

Academic Editor: Jason Ng

Copyright © 2015 Irena Jekova and Giovanni Bortolan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z. Zhao, L. Yang, D. Chen, and Y. Luo, “A human ECG identification system based on ensemble empirical mode decomposition,” Sensors, vol. 13, no. 5, pp. 6832–6864, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. L. Biel, O. Pettersson, L. Philipson, and P. Wide, “ECG analysis: a new approach in human identification,” IEEE Transactions on Instrumentation and Measurement, vol. 50, no. 3, pp. 808–812, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. S. A. Israel, J. M. Irvine, A. Cheng, M. D. Wiederhold, and B. K. Wiederhold, “ECG to identify individuals,” Pattern Recognition, vol. 38, no. 1, pp. 133–142, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Wang, F. Agrafioti, D. Hatzinakos, and K. N. Plataniotis, “Analysis of human electrocardiogram for biometric recognition,” EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 148658, 2008. View at Publisher · View at Google Scholar
  5. F. Agrafioti and D. Hatzinakos, “ECG biometric analysis in cardiac irregularity conditions,” Signal, Image and Video Processing, vol. 3, no. 4, pp. 329–343, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. K. N. Plataniotis, D. Hatzinakos, and J. K. M. Lee, “ECG biometric recognition without fiducial detection,” in Proceedings of the Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference (BSYM '06) , 2006 (BSYM '06), pp. 1–6, Baltimore, Md, USA, September 2006. View at Publisher · View at Google Scholar
  7. F. Poree, A. Gallix, and G. Carrault, “Biometric identification of individuals based on the ECG. Which conditions?” in Proceedings of the Computing in Cardiology, vol. 38, pp. 761–764, IEEE, Hangzhou, China, September 2011.
  8. G. Wübbeler, M. Stavridis, D. Kreiseler, R.-D. Bousseljot, and C. Elster, “Verification of humans using the electrocardiogram,” Pattern Recognition Letters, vol. 28, no. 10, pp. 1172–1175, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. C. Ye, M. T. Coimbra, and B. V. K. V. Kumar, “Investigation of human identification using two-lead Electrocardiogram (ECG) signals,” in Proceedings of the 4th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS '10), Washington, DC, USA, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Zokaee and K. Faez, “Human identification based on ECG and palmprint,” International Journal of Electrical and Computer Engineering, vol. 2, no. 2, pp. 261–266, 2012. View at Publisher · View at Google Scholar
  11. K. Sidek, I. Khalil, and M. Smolen, “ECG biometric recognition in different physiological conditions using robust normalized QRS complexes,” in Proceedings of the Computers in Cardiology, pp. 97–100, IEEE, Kraków, Poland, September 2012.
  12. F. Poree, J. Y. Bansard, G. Kervio, and G. Carrault, “Stability analysis of the 12-lead ECG morphology in different physiological conditions of interest for biometric applications,” in Proceedings of the Computers in Cardiology, vol. 36, pp. 285–288, IEEE, Park City, Utah, USA, September 2009.
  13. A. Lourenço, H. Silva, and A. Fred, “Unveiling the biometric potential of finger-based ECG signals,” Computational Intelligence and Neuroscience, vol. 2011, Article ID 720971, 8 pages, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. I. Odinaka, P.-H. Lai, A. D. Kaplan, J. A. O'Sullivan, E. J. Sirevaag, and J. W. Rohrbaugh, “ECG biometric recognition: a comparative analysis,” IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1812–1824, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. A. D. C. Chan, M. M. Hamdy, A. Badre, and V. Badee, “Wavelet distance measure for person identification using electrocardiograms,” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 2, pp. 248–253, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Maggi, M. Zucchetto, F. Grigoletto et al., “The Italian longitudinal study on aging (ILSA): design and methods,” Aging Clinical and Experimental Research, vol. 6, no. 6, pp. 464–470, 1994. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Amaducci, M. Baldereschi, A. DiCarlo et al., “Prevalence of chronic diseases in older Italians: comparing self-reported and clinical diagnoses,” International Journal of Epidemiology, vol. 26, no. 5, pp. 995–1002, 1997. View at Publisher · View at Google Scholar · View at Scopus
  18. G. Bortolan, M. Bressan, and F. Golferini, “Serial analysis in the ECG-ILSA database: study of longitudinal modifications,” in Proceedings of the Computers in Cardiology, vol. 26, pp. 667–670, Hannover, Germany, September 1999. View at Publisher · View at Google Scholar
  19. G. Bortolan, M. Bressan, F. Golferini, and ILSA Study Group, “QT dispersion in the elderly. The ILSA study,” Aging Clinical and Experimental Research, vol. 16, no. 5, pp. 342–348, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. G. Bortolan, M. Bressan, and I. Christov, “Longitudinal modifications of T-loop morphology,” in Proceedings of the Computers in Cardiology, vol. 29, pp. 685–688, IEEE, September 2002. View at Publisher · View at Google Scholar
  21. I. I. Christov, “Real-time electrocardiogram QRS detection using combined adaptive threshold,” Biomedical Engineering Online, vol. 3, no. 28, pp. 1–9, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. F. Gorunescu, Data Mining: Concepts, Models and Techniques, Springer, Beijing, China, 2011.
  23. J. Lee, Y. Chee, and I. Kim, “Personal identification based on vectorcardiogram derived from limb leads electrocardiogram,” Journal of Applied Mathematics, vol. 2012, Article ID 904905, 12 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. B. Schijvenaars, Intra-individual variability of electrocardiogram. Assessment and exploitation in computerized ECG analysis [Ph.D. thesis], Erasmus University Rotterdam, Rotterdam, The Netherlands, 2000.