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Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion

Publication ,  Conference
Li, M; Li, X
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
January 1, 2014

We propose an ECG based robust human verification system for both healthy and cardiac irregular conditions using the heartbeat level and segment level information fusion. At the heartbeat level, we first propose a novel beat normalization and outlier removal algorithm after peak detection to extract normalized representative beats. Then after principal component analysis (PCA), we apply linear discriminant analysis (LDA) and within-class covariance normalization (WCCN) for beat variability compensation followed by cosine similarity and Snorm as scoring. At the segment level, we adopt the hierarchical Dirichlet process auto-regressive hidden Markov model (HDP-AR-HMM) in the Bayesian non-parametric framework for unsupervised joint segmentation and clustering without any peak detection. It automatically decodes each raw signal into a string vector. We then apply n-gram language model and hypothesis testing for scoring. Combining the aforementioned two subsystems together further improved the performance and outperformed the PCA baseline by 25% relatively on the PTB database. © 2014 IEEE.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

January 1, 2014

Start / End Page

3769 / 3773
 

Citation

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Li, M., & Li, X. (2014). Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 3769–3773). https://doi.org/10.1109/ICASSP.2014.6854306
Li, M., and X. Li. “Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion.” In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3769–73, 2014. https://doi.org/10.1109/ICASSP.2014.6854306.
Li M, Li X. Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2014. p. 3769–73.
Li, M., and X. Li. “Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2014, pp. 3769–73. Scopus, doi:10.1109/ICASSP.2014.6854306.
Li M, Li X. Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2014. p. 3769–3773.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

January 1, 2014

Start / End Page

3769 / 3773