The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
One-lead ECG for identity verification
Abstract
This research investigates the feasibility of using the electrocardiogram (ECG) as a new biometric for human identity verification. It is well known that the shapes of the ECG waveforms of different persons are different but it is unclear whether such differences can be used to identify different individuals. In this research, we demonstrated successfully that it is possible to identify a specific person from a group of candidates using a one-lead ECG. A one-lead ECG, unlike two-dimensional biometrics, such as the fingerprint, is a one-dimensional, low-frequency signal that can be recorded from electrodes on the hands. This research applied two techniques, template matching and a decision-based neural network (DBNN), to implement the identity verification. Using each of the two methods separately on a predetermined group of 20 subjects, the experimental results showed that the rate of correct identity verification was 95% for template matching and 80% for the DBNN. Combining the two methods produced a 100% correct rate. Our results show that ECG analysis is a potentially applicable method for human identity verification.
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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
An introduction evaluating biometric systems
Phillips, P. J., Martin, A., Wilson, C. L., & Przybocki, M. (2000) · Computer · doi:10.1109/2.820040 · Cited by 391
BiolD: a multimodal biometric identification system
Frischholz, R. W., & Dieckmann, U. (2000) · Computer · doi:10.1109/2.820041 · Cited by 346
Decision-based neural networks with signal/image classification applications
Kung, S. Y., & Taur, J. S. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.363439 · Cited by 164
An ECG Classifier Designed Using Modified Decision Based Neural Networks
Simon, B. P., & Eswaran, C. (1997) · Computers and Biomedical Research · doi:10.1006/cbmr.1997.1446 · Cited by 86
Cited by
Wavelet Distance Measure for Person Identification Using Electrocardiograms
Chan, A. D. C., Hamdy, M. M., Badre, A., & Badee, V. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2007.909996 · Cited by 363
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
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
Medical biometrics in mobile health monitoring
Agrafioti, F., Bui, F. M., & Hatzinakos, D. (2011) · Security and Communication Networks · doi:10.1002/sec.227 · Cited by 32
Metadata
- Authors
- Shen, T. W., Tompkins, W. J., & Hu, Y. H.
- Venue
- Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 1
- Pages
- 62-63
- OpenAlex
- W1655694665
- Cited by
- 278
- References
- 5
- FWCI
- 2.54
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Shen, T. W., Tompkins, W. J., & Hu, Y. H. (2003). One-lead ECG for identity verification. Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology. https://doi.org/10.1109/iembs.2002.1134388
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
