A hasty approach to ECG person identification

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...

Full description

Bibliographic Details
Main Authors:	Wali, Tuerxun, Mohd. Nor, Rizal, Yaacob, Hamwira, Sidek, Khairul Azami, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/8/54603_A%20hasty%20approach%20to%20ECG%20person%20identification_scopus.pdf http://irep.iium.edu.my/54603/13/54603_A%20hasty%20approach%20to%20ECG%20person%20identification.pdf

id	iium-54603
recordtype	eprints
spelling	iium-546032017-05-23T08:01:58Z http://irep.iium.edu.my/54603/ A hasty approach to ECG person identification Wali, Tuerxun Mohd. Nor, Rizal Yaacob, Hamwira Sidek, Khairul Azami Abdul Rahman, Abdul Wahab TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering 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. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/54603/8/54603_A%20hasty%20approach%20to%20ECG%20person%20identification_scopus.pdf application/pdf en http://irep.iium.edu.my/54603/13/54603_A%20hasty%20approach%20to%20ECG%20person%20identification.pdf 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. http://ieeexplore.ieee.org/document/7808323/ 10.1109/ICCCE.2016.65
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Wali, Tuerxun Mohd. Nor, Rizal Yaacob, Hamwira Sidek, Khairul Azami Abdul Rahman, Abdul Wahab A hasty approach to ECG person identification
description	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.
format	Conference or Workshop Item
author	Wali, Tuerxun Mohd. Nor, Rizal Yaacob, Hamwira Sidek, Khairul Azami Abdul Rahman, Abdul Wahab
author_facet	Wali, Tuerxun Mohd. Nor, Rizal Yaacob, Hamwira Sidek, Khairul Azami Abdul Rahman, Abdul Wahab
author_sort	Wali, Tuerxun
title	A hasty approach to ECG person identification
title_short	A hasty approach to ECG person identification
title_full	A hasty approach to ECG person identification
title_fullStr	A hasty approach to ECG person identification
title_full_unstemmed	A hasty approach to ECG person identification
title_sort	hasty approach to ecg person identification
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/ http://irep.iium.edu.my/54603/8/54603_A%20hasty%20approach%20to%20ECG%20person%20identification_scopus.pdf http://irep.iium.edu.my/54603/13/54603_A%20hasty%20approach%20to%20ECG%20person%20identification.pdf
first_indexed	2023-09-18T21:17:15Z
last_indexed	2023-09-18T21:17:15Z
_version_	1777411644880584704

A hasty approach to ECG person identification

Similar Items