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• W2150803756 abstract "In this paper, we propose a novel approach using the morphological properties of the R-R segments in an ECG signal for biometric authentication. The authenticity of a given R-R segment is decided by comparing it to a matching R-R segment morphologically synthesized from a model characterizing the identity to be authenticated. The morphological synthesis process uses a set of R-R segments (templates), recorded during enrolment at different heart-rates, and a time alignment algorithm. This ensures the authentication to be independent of the, usually variable, heart-rate. The optimum average equal-error-rate obtained in our experiments is 2%." @default.
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• W2150803756 date "2007-09-03" @default.
• W2150803756 modified "2023-09-22" @default.
• W2150803756 title "Morphological synthesis of ECG signals for person authentication" @default.
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• W2150803756 doi "https://doi.org/10.5281/zenodo.40354" @default.
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