A hasty approach to ECG person identification

Wali, Tuerxun and Mohd. Nor, Rizal and Yaacob, Hamwira and Sidek, Khairul Azami and Abdul Rahman, Abdul Wahab (2016) A hasty approach to ECG person identification. In: 2016 International Conference on Computer and Communication Engineering (ICCCE), 25th-27th July 2016, Kuala Lumpur.

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Abstract

Using electrocardiogram (ECG) to extract identity, mood and behavioral information of individuals is a hot topic in biometric for the last 15 years. In an ECG signal, the region identified as the QRS complex is primarily used for classification of individuals. In this paper, we study an accepted method for identification where feature points are extracted from selecting random points within the QRS region and using the multilayer perceptron (MLP) method for classification. In our experiments, feature points are varied and processing time are measured to study the speed in processing feature points for identification. Our results shows accuracy performance cost and gains and the performance with respect to the number of feature points. Additionally, a different method in using 3- point of QRS complex that can provide best accuracy and time performance is presented. Our method though compromises accuracy proves to give faster results and may be usable for future applications in IoT.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	5251/54603
Uncontrolled Keywords:	electrocardiogram; QRS peaks; multilayer perceptron; neural networks; biometric identification; NSRDB database
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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 Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Assoc Prof Dr Khairul Azami Sidek
Date Deposited:	08 Feb 2017 13:41
Last Modified:	23 May 2017 16:01
URI:	http://irep.iium.edu.my/id/eprint/54603

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