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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/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf
http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf
http://irep.iium.edu.my/60818/
https://link.springer.com/chapter/10.1007/978-3-319-40415-8_14
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spelling my.iium.irep.60818 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/60818/9/60818-Electrocardiogram%20Identification-Use%20a%20simple.pdf
http://irep.iium.edu.my/60818/8/60818-Electrocardiogram%20identification-SCOPUS.pdf
http://irep.iium.edu.my/60818/
https://link.springer.com/chapter/10.1007/978-3-319-40415-8_14
_version_ 1643616989429628928
score 13.211869

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