Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals

, Tuerxunwaili and Mohd Nor, Rizal and Abdul Rahman, Abdul Wahab and Sidek, Khairul Azami and Ibrahim, Adamu Abubakar (2016) Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals. In: 12th International Conference on Computing and Information Technology (IC2 IT), 7th-8th July 2016, Meaung Khon Kaen, Khon Kaen, Thailand.

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Abstract

This paper presents a Multilayer Perception Neural Network developed to identify human subjects using electrocardiogram (ECG) signals. We use the amplitude values of Q, R and S as a features for our experiments. In this study, a total of 87 dataset were collected among 14 subjects from the Physikalisch-Technische Bundesanstalt (PTB) database. Out of the 14 subjects, Q-R-S feature points were taken from different day and time sessions to perform classification with MLP. Out of this data, 66 % is used as training dataset while the remaining 34 % is used for testing. Our method yields 96 % accuracy and demonstrates that the use of three fiducial points is sufficient to identify a subject despite the common practice of taking more feature points.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4698/60818
Uncontrolled Keywords:	Electrocardiogram, QRS peaks, Multi-Layer perceptron, Neural networks, Biometric identification, PTB database
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:	23 Jan 2018 11:20
Last Modified:	26 Jun 2018 10:41
URI:	http://irep.iium.edu.my/id/eprint/60818

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