Human identification based on ECG signal

This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the exi...

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Main Authors:	Amiruddin, Ainunjariah, Khalifa, Othman Omran, Rabih, Fadlallah Ali Fadlallah
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf

id	iium-47811
recordtype	eprints
spelling	iium-478112016-01-29T01:36:09Z http://irep.iium.edu.my/47811/ Human identification based on ECG signal Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual. 2015-09-07 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf application/pdf en http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf Amiruddin, Ainunjariah and Khalifa, Othman Omran and Rabih, Fadlallah Ali Fadlallah (2015) Human identification based on ECG signal. In: 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCCNEE 2015), 7th-9th Dec. 2015, Khartoum, Sudan. (Unpublished) http://www.iccneee15.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah Human identification based on ECG signal
description	This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual.
format	Conference or Workshop Item
author	Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah
author_facet	Amiruddin, Ainunjariah Khalifa, Othman Omran Rabih, Fadlallah Ali Fadlallah
author_sort	Amiruddin, Ainunjariah
title	Human identification based on ECG signal
title_short	Human identification based on ECG signal
title_full	Human identification based on ECG signal
title_fullStr	Human identification based on ECG signal
title_full_unstemmed	Human identification based on ECG signal
title_sort	human identification based on ecg signal
publishDate	2015
url	http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/ http://irep.iium.edu.my/47811/1/268_Othman_Khalifa_PID3861145.pdf http://irep.iium.edu.my/47811/2/IEEE_Sudan.pdf
first_indexed	2023-09-18T21:07:58Z
last_indexed	2023-09-18T21:07:58Z
_version_	1777411061454995456

Human identification based on ECG signal

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