An embedded biometric recognition system based on ECG signals using an ARM Cortex 4 processor shows promise for real-world individual identification and authentication.
May support portable ECG biometrics; hypothesis-generating and requires prospective validation before clinical use.
Biometric recognition is emerging has an alternative solution for applications where the privacy of the information is crucial. This paper presents an embedded biometric recognition system based on the Electrocardiographic signals (ECG) for individual identification and authentication. The proposed system implements a real-time state-of-the-art recognition algorithm, which ex- tracts information from the frequency domain. The system is based on a ARM Cortex 4. Preliminary results show that embedded platforms are a promising path for the implementation of ECG-based applications in real-world scenario.
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Matos et al. (2014) studied this question.
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