TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM

André Lourenço, Hugo Silva, Daniel Perna Santos, Ana Fred

2011

Abstract

The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability. In this paper we propose an ECG based biometric system that uses signals collected at the fingers through a minimally intrusive 1-lead ECG setup. Time domain ECG signal processing is performed, following the usual steps of filtering, peak detection, heartbeat waveform segmentation, and amplitude normalization. We introduce two additional steps of synthetic waves generation and time normalization. Through a simple one nearest neighbor classifier, results have revealed this to be a promising technique.

References

  1. Chung, E. (2001). Pocket Guide to ECG Diagnosis, 2nd Ed. Willey-Blackwell.
  2. Coutinho, D. P., Fred, A., and Figueiredo, M. (2010). Personal identification and authentication based on onelead ECG using ziv-merhav cross parsing. In Proc. International Workshop on Pattern Recognition in Information Systems, pages 15-24.
  3. Duta, N., Jain, A., and Mardia, K. (2002). Matching of palmprint. Pattern Recognition Letters, 23(4):477- 485.
  4. Englese, W. and Zeelenberg, C. (1979). A single scan algorithm for QRS detection and feature extraction. IEEE Comp in Card, pages 37-42.
  5. Friesen, G., Jannett, T., Yates, M. J. S., Quint, S., and Nagle, H. (1990). A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Transactions on Biomedical Engineering, 37(1):85 -98.
  6. Gamboa, H., Silva, H., and Silva, F. (2010). Patient tracking system. In Proc. ICST International Conf. on Pervasive Computing Technologies for Healthcare.
  7. Jain, A., Ross, A., and Pankanti, S. (1999). A prototype hand geometry-based verification system. In Proc. of the 2nd Int'l Conference on Audio- and Videobased Biometric Person Authentication (AVBPA), pages 166-171.
  8. Leonov, V. (2009). Wireless body-powered electrocardiography shirt. In Proceedings of the Smart Systems Integration European Conference.
  9. Li, M. and Narayanan, S. S. (2010). Robust ECG biometrics by fusing temporal and cepstral information. In Proc. of the 20th Int'l Conf. on Pattern Recognition (ICPR).
  10. Malik, M. and Camm, A. (2004). Dynamic Electrocardiography. Willey-Blackwell.
  11. Riera, A., Dunne, S., Cester, I., and Ruffini, G. (2008). Starfast: a wireless wearable EEG/ECG biometric system based on the enobio sensor. In Proceeding of the International Workshop on Wearable Micro and Nanosystems for Personalised Health 2008.
  12. Shen, T. and Tompkins, W. (2005). Biometric statistical study of one-lead ECG features and body mass index (BMI). In Proc. of the 27th Int'l Conf of the IEEE EMBS, pages 1162-1165.
  13. Shen, T., Tompkins, W., and Hu, Y. (2002). One-lead QRS for identity verification. In Proceedings of the Second Joint EMBS/BMES Conference, pages 62-63.
  14. Silva, H., Gamboa, H., and Fred, A. (2007a). Applicability of lead v2 ECG measurements in biometrics. In Mede-Tel 2007 Proceedings, pages 177-180.
  15. Silva, H., Gamboa, H., and Fred, A. (2007b). One lead ECG based personal identification with feature subspace ensembles. In 5th International Conference on Machine Learning and Data Mining, pages 770-783.
Download


Paper Citation


in Harvard Style

Lourenço A., Silva H., Perna Santos D. and Fred A. (2011). TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 348-353. DOI: 10.5220/0003286803480353


in Bibtex Style

@conference{biosignals11,
author={André Lourenço and Hugo Silva and Daniel Perna Santos and Ana Fred},
title={TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={348-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003286803480353},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - TOWARDS A FINGER BASED ECG BIOMETRIC SYSTEM
SN - 978-989-8425-35-5
AU - Lourenço A.
AU - Silva H.
AU - Perna Santos D.
AU - Fred A.
PY - 2011
SP - 348
EP - 353
DO - 10.5220/0003286803480353