1,631
Views
17
CrossRef citations to date
0
Altmetric
Article; Bioinformatics

ECG-based identity recognition via deterministic learning

, &
Pages 769-777 | Received 22 Feb 2017, Accepted 13 Jan 2018, Published online: 06 Feb 2018

References

  • Gahi Y, Lamrani M, Zoglat A, et al. Biometric identification system based on electrocardiogram data. In: Aggarwal A, Badra M, Massacci F, editors. New technologies, mobility and security; Proceedings of NTMS'2008 Conference and Workshops (NTMS’08); 2008 Nov 5–7; Tangier, Morocco. IEEE; 2008. p. 1–5.
  • Fratini A, Sansone M, Bifulco P, et al. Individual identification via electrocardiogram analysis. BioMed Eng OnLine. 2015 [cited 2017 Jun 10];14(1):78. DOI:10.1186/s12938-015-0072-y
  • Wang Y, Agrafioti F, Hatzinakos D, et al. Analysis of human electrocardiogram for biometric recognition. EURASIP J Adv Signal Process. 2007 [cited 2017 Jun 10];2008(1):148658. DOI:10.1155/2008/148658
  • Chirillo J, Blaul S. Implementing biometric security. Boston (MA): Hungry Minds, Inc; 2003.
  • Hoekema R, Uijen GJ, Van Oosterom A. Geometrical aspects of the interindividual variability of multilead ECG recordings, IEEE Trans Biomed Eng. 2001;48(5):551–559.
  • Odinaka I, Lai P-H, Kaplan AD, et al. ECG biometric recognition: A comparative analysis. IEEE Trans Inform Forensic Secur. 2012;7(6):1812–1824.
  • Israel SA, Irvine JM, Cheng A, et al. ECG to identify individuals. Pattern Recognit. 2005;38(1):133–142.
  • Biel L, Pettersson O, Philipson L, et al. ECG analysis: a new approach in human identification. IEEE Trans Instrum Meas. 2001;50(3):808–812.
  • Wuebbeler G, Bousseljot R, Kreiseler D, et al. Human verification by heart beat signals. In: Working group 8.42.. Berlin: Physikalisch-Technische Bundesanstalt (PTB); 2004.
  • Irvine JM, Israel SA. A sequential procedure for individual identity verification using ECG. EURASIP J Adv Signal Process. 2009 [cited 2017 Jun 10];2009:243215. DOI:10.1155/2009/243215
  • Irvine J, Wiederhold B, Gavshon L, et al. Heart rate variability: a new biometric for human identification. In: Proceedings of the International Conference on Artificial Intelligence (IC-AI01); Jun 25–28; Las Vegas. New York (NY): CSREA Press; 2001, pp. 1106–1111.
  • , Kyoso M, Uchiyama A. Development of an ECG identification system. In: Engineering in medicine and biology society. Proceedings of the 23rd Annual International Conference of the IEEE, vol. 4; 2001 Oct 25–28; Istanbul, Turkey. Piscataway (NJ): IEEE, 2001. p. 3721–3723.
  • Agrafioti F, Hatzinakos D. ECG biometric analysis in cardiac irregularity conditions. SIViP. 2009;3(4):329–343.
  • Fang S-C, Chan H-L. Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space. Pattern Recognit. 2009;42(9):1824–1831.
  • Safie SI, Soraghan JJ, Petropoulakis L. Electrocardiogram (ECG) biometric authentication using pulse active ratio (par). IEEE Trans Inform Forensic Secur. 2011;6(4):1315–1322.
  • Shen T-W, Tompkins WJ, Hu YH. Implementation of a one-lead ECG human identification system on a normal population. J Eng Comput Innov. 2011;2(1):12–21.
  • Dong X, Wang C, Hu J, et al. Electrocardiogram (ECG) pattern modeling and recognition via deterministic learning. Control Theory Technol. 2014;12(4):333–344.
  • Wang C, Dong X, Ou S, et al. A new method for early detection of myocardial ischemia: cardiodynamicsgram (CDG). Sci China Inf Sci. 2016;59(1):1–11.
  • Wang C, Hill DJ. Deterministic learning theory for identification, recognition, and control. Boston (MA): CRC Press; 2009.
  • Wang D. Temporal pattern processing. In: Arbib MA, editor. The handbook of brain theory and neural networks. Cambridge (MA): MIT Press; 2003. p. 1163–1167.
  • Hong P, Huang TS. Automatic temporal pattern extraction and association. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2002. Proceedings, vol. 2; 2002 May 13–17; Orlando (FL). IEEE; 2002. p. II–2005.
  • Wang C, Hill DJ. Learning from neural control. IEEE Trans Neural Netw. 2006;17(1):130–146.
  • Wang C, Hill DJ. Deterministic learning and rapid dynamical pattern recognition. IEEE Trans Neural Netw. 2007;18(3):617–630.
  • Goldberger AL, Amaral LA, Glass L, et al. Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals. Circulation. 2000;101(23):e215–e220.
  • Lines G, Buist M, Grottum P, et al. Mathematical models and numerical methods for the forward problem in cardiac electrophysiology. Comput Visualiz Sci. 2003;5(4):215–239.
  • Agrafioti F, Hatzinakos D. Fusion of ECG sources for human identification. In: 3rd International Symposium on Communications, Control and Signal Processing, 2008 (ISCCSP 2008); Proceedings. 2008 Mar 12–14; St. Julians, Malta. Piscataway (NJ): IEEE; 2008. p. 1542–1547.
  • Haykin SS. Neural networks: a comprehensive foundation. Beijing: Tsinghua University Press; 2001.
  • Kors J, Van Herpen G, Sittig A, et al. Reconstruction of the frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods. Eur Heart J. 1990;11(12):1083–1092.
  • Plataniotis KN, Hatzinakos D, Lee JK. ECG biometric recognition without fiducial detection. In: 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. 2006 Sep 19–21; Baltimore (MD). IEEE; 2006. p. 1–6. DOI:10.1109/BCC.2006.4341628
  • Ghofrani N, Bostani R. Reliable features for an ECG-based biometric system. In: 17th Iranian Conference of Biomedical Engineering (ICBME); Proceedings. 2010 Nov 3–4; Isfahan (Iran). IEEE; 2010, p. 1–5. DOI:10.1109/ICBME.2010.5704918
  • Singh YN, Gupta P. Correlation-based classification of heartbeats for individual identification. Soft Comput. 2011;15(3):449–460.