Abstract
Traditional data security methods, such as passwords or numeric codes, have been replaced by biometric methods of identification. In this paper, an ECG biometric recognition system was developed and simulated under the Matlab environment. The application allows the selection of two ECG recordings from a database, which are compared based on the extracted morphological features. Based on the comparison results, it will be established whether the two recordings belong to the same subject. The operation of comparing the two ECG recordings can be done only after the fiducial points of the PQRST signature have been identified for an RR interval, normalized in the time and magnitude domains. The implemented algorithm was validated on a data set of 14 recordings taken from the PhysioNet platform.
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Cordoș, C., Faragó, P., Hintea, S., Fărcaș, C. (2022). A Matlab Simulation Platform for a Biometric Identification System Based on ECG Fiducial Features. In: Vlad, S., Roman, N.M. (eds) 7th International Conference on Advancements of Medicine and Health Care through Technology. MEDITECH 2020. IFMBE Proceedings, vol 88. Springer, Cham. https://doi.org/10.1007/978-3-030-93564-1_1
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DOI: https://doi.org/10.1007/978-3-030-93564-1_1
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