The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Wavelet Distance Measure for Person Identification Using Electrocardiograms
Abstract
In this paper, the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data were collected from 50 subjects during three data-recording sessions on different days using a simple user interface, where subjects held two electrodes on the pads of their thumbs using their thumb and index fingers. Data from session 1 were used to establish an enrolled database, and data from the remaining two sessions were used as test cases. Classification was performed using three different quantitative measures: percent residual difference, correlation coefficient, and a novel distance measure based on wavelet transform. The wavelet distance measure has a classification accuracy of 89%, outperforming the other methods by nearly 10%. This ECG person-identification modality would be a useful supplement for conventional biometrics, such as fingerprint and palm recognition systems.
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Cites
ECG analysis: a new approach in human identification
Biel, L., Pettersson, O., Philipson, L., & Wide, P. (2001) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/19.930458 · Cited by 949
One-lead ECG for identity verification
Shen, T. W., Tompkins, W. J., & Hu, Y. H. (2003) · Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology · doi:10.1109/iembs.2002.1134388 · Cited by 278
Development of an ECG identification system
Kyoso, M., & Uchiyama, A. (2005) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2001.1019645 · Cited by 154
Effects of age, sex, and body habitus on QRS and ST-T potential maps of 1100 normal subjects.
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Toward reliable user authentication through biometrics
Matyáš, V., & Riha, Z. (2003) · IEEE Security & Privacy · doi:10.1109/msecp.2003.1203221 · Cited by 94
Fusing face and ECG for personal identification
Israel, S. A., Scruggs, W., Worek, W. J., et al. (2004) · Proceedings · doi:10.1109/aipr.2003.1284276 · Cited by 92
Geometrical factors affecting the interindividual variability of the ECG and the VCG
van Oosterom, A., Hoekema, R., & Uijen, G. J. H. (2000) · Journal of Electrocardiology · doi:10.1054/jelc.2000.20356 · Cited by 84
The electrocardiogram in obesity
Eisenstein, I., Edelstein, J., SARMA, R. J., Sanmarco, M. E., & Selvester, R. H. S. (1982) · Journal of Electrocardiology · doi:10.1016/s0022-0736(82)80003-4 · Cited by 77
A technique for avoiding false acceptance in ECG identification
Kyoso, M. (2004) · doi:10.1109/apbme.2003.1302648 · Cited by 26
Reproducibility of the signal-averaged electrocardiogram using individual lead analysis
Aganauskienė, J., Sörnmo, L., Atarius, R., & Blomström‐Lundqvist, C. (1995) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a061082 · Cited by 13
Cited by
ECG Biometric Recognition: A Comparative Analysis
Odinaka, I., Lai, P.-H., Kaplan, A. D., O'Sullivan, J. A., Sirevaag, E. J., & Rohrbaugh, J. W. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2215324 · Cited by 356
Zhang, Q., Zhou, D., & Zeng, X. (2017) · IEEE Access · doi:10.1109/access.2017.2707460 · Cited by 282
ECG biometric recognition using SVM‐based approach
Rezgui, D., & Lachiri, Z. (2016) · IEEJ Transactions on Electrical and Electronic Engineering · doi:10.1002/tee.22241 · Cited by 40
Metadata
- Authors
- Chan, A. D. C., Hamdy, M. M., Badre, A., & Badee, V.
- Venue
- IEEE Transactions on Instrumentation and Measurement
- Published
- 2008
- Volume
- 57
- Issue
- 2
- Pages
- 248-253
- ISSN
- 0018-9456 (ISSN-L)
- OpenAlex
- W2164053975
- Cited by
- 363
- References
- 10
- FWCI
- 28.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chan, A. D. C., Hamdy, M. M., Badre, A., & Badee, V. (2008). Wavelet Distance Measure for Person Identification Using Electrocardiograms. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/tim.2007.909996
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
