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

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 Physik...

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Main Authors:	, Tuerxunwaili, Mohd Nor, Rizal, Abdul Rahman, Abdul Wahab, Sidek, Khairul Azami, Ibrahim, Adamu Abubakar
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer International Publishing 2016
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf

id	iium-60818
recordtype	eprints
spelling	iium-608182018-06-26T02:41:49Z http://irep.iium.edu.my/60818/ Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals , Tuerxunwaili Mohd Nor, Rizal Abdul Rahman, Abdul Wahab Sidek, Khairul Azami Ibrahim, Adamu Abubakar TK7885 Computer engineering 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. Springer International Publishing 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf application/pdf en http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf , 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. https://link.springer.com/chapter/10.1007/978-3-319-40415-8_14 10.1007/978-3-319-40415-8_14
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering , Tuerxunwaili Mohd Nor, Rizal Abdul Rahman, Abdul Wahab Sidek, Khairul Azami Ibrahim, Adamu Abubakar Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
description	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.
format	Conference or Workshop Item
author	, Tuerxunwaili Mohd Nor, Rizal Abdul Rahman, Abdul Wahab Sidek, Khairul Azami Ibrahim, Adamu Abubakar
author_facet	, Tuerxunwaili Mohd Nor, Rizal Abdul Rahman, Abdul Wahab Sidek, Khairul Azami Ibrahim, Adamu Abubakar
author_sort	, Tuerxunwaili
title	Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
title_short	Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
title_full	Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
title_fullStr	Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
title_full_unstemmed	Electrocardiogram identification: Use a simple set of features in QRS complex to identify individuals
title_sort	electrocardiogram identification: use a simple set of features in qrs complex to identify individuals
publisher	Springer International Publishing
publishDate	2016
url	http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/ http://irep.iium.edu.my/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf
first_indexed	2023-09-18T21:26:13Z
last_indexed	2023-09-18T21:26:13Z
_version_	1777412208690462720

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

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