Data mining in mobile ECG based biometric identification

Sidek, Khairul Azami and Mai, Vu and Khalil, Ibrahim (2014) Data mining in mobile ECG based biometric identification. Journal of Network and Computer Applications, 44. pp. 83-91. ISSN 1084-8045

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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 of the subject recognition methods. Discriminatory features extracted from the experimentation were later applied to different classifiers for performance measures based on the complexity of our proposed sample extraction method when compared to other related algorithms, the total execution time (TET) applied on different classifiers in various mobile devices and the classification accuracies when applied to various classification techniques. Experimentation results showed that our method simplifies biometric identification process by obtaining reduced computational complexity when compared to other related algorithms. This is evident when TET values were significantly low on mobile devices as compared to a non-mobile device while maintaining high accuracy rates ranging from 98.30% to 99.07% in different classifiers. Therefore, these outcomes support the usability of ECG based biometric identification in a mobile environment.

Item Type:	Article (Journal)
Additional Information:	4698/36914
Uncontrolled Keywords:	ECG, Mobile biometric, Android, QRS complex Data mining
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	12 Jun 2014 15:35
Last Modified:	11 Jun 2018 15:01
URI:	http://irep.iium.edu.my/id/eprint/36914

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