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Robust ECG biometrics by fusing temporal and cepstral information

Publication ,  Conference
Li, M; Narayanan, S
Published in: Proceedings - International Conference on Pattern Recognition
November 18, 2010

The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a novel robust Electrocardiogram (ECG) biometric algorithm based on both temporal and cepstral information is proposed. First, in the time domain, after pre-processing and normalization, each heartbeat of the ECG signal is modeled by Hermite polynomial expansion (HPE) and support vector machine (SVM). Second, in the homomorphic domain, cepstral features are extracted from the ECG signals and modeled by Gaussian mixture modeling (GMM). In the GMM framework, heteroscedastic linear discriminant analysis and GMM supervector kernel is used to perform feature dimension reduction and discriminative modeling, respectively. Finally, fusion of both temporal and cepstral system outcomes at the score level is used to improve the overall performance. Experiment results show that the proposed hybrid approach achieves 98.3% accuracy and 0.5% equal error rate on the MIT-BIH Normal Sinus Rhythm Database. © 2010 IEEE.

Duke Scholars

Published In

Proceedings - International Conference on Pattern Recognition

DOI

ISSN

1051-4651

Publication Date

November 18, 2010

Start / End Page

1326 / 1329
 

Citation

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Li, M., & Narayanan, S. (2010). Robust ECG biometrics by fusing temporal and cepstral information. In Proceedings - International Conference on Pattern Recognition (pp. 1326–1329). https://doi.org/10.1109/ICPR.2010.330
Li, M., and S. Narayanan. “Robust ECG biometrics by fusing temporal and cepstral information.” In Proceedings - International Conference on Pattern Recognition, 1326–29, 2010. https://doi.org/10.1109/ICPR.2010.330.
Li M, Narayanan S. Robust ECG biometrics by fusing temporal and cepstral information. In: Proceedings - International Conference on Pattern Recognition. 2010. p. 1326–9.
Li, M., and S. Narayanan. “Robust ECG biometrics by fusing temporal and cepstral information.” Proceedings - International Conference on Pattern Recognition, 2010, pp. 1326–29. Scopus, doi:10.1109/ICPR.2010.330.
Li M, Narayanan S. Robust ECG biometrics by fusing temporal and cepstral information. Proceedings - International Conference on Pattern Recognition. 2010. p. 1326–1329.

Published In

Proceedings - International Conference on Pattern Recognition

DOI

ISSN

1051-4651

Publication Date

November 18, 2010

Start / End Page

1326 / 1329