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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Springer International Publishing
2016
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848785554737463296 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:55:00Z |
| format | Proceeding Paper |
| id | iium-60818 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:55:00Z |
| publishDate | 2016 |
| publisher | Springer International Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK7885 Computer engineering |
| 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 |