Data mining in mobile ECG based biometric identification

Abstract

This paper investigates the robustness of performing biometric identification in a mobile environment using electrocardiogram (ECG) signals. We implemented our proposed biometric sample extraction technique to test the usability across classifiers. Subjects in MIT-BIH Normal Sinus Rhythm Database (NSRDB) were used to validate the reliability and stability… (More)
DOI: 10.1016/j.jnca.2014.04.008

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