An efficient method of biometric matching using interpolated ECG data
In this paper, a person identification method using electrocardiogram (ECG) is presented based on cubic spline interpolation method. Three different databases with two different sampling rates containing 36 ECG recordings were used for development and evaluation. Each ECG recording is divided into t...
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Online Access: | http://irep.iium.edu.my/32001/ http://irep.iium.edu.my/32001/ http://irep.iium.edu.my/32001/1/iecbes2010.pdf |
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iium-320012013-09-17T01:03:02Z http://irep.iium.edu.my/32001/ An efficient method of biometric matching using interpolated ECG data Sidek, Khairul Azami Sufi, Fahim Khalil, Ibrahim Al-Shammary, Dhiah TK7885 Computer engineering In this paper, a person identification method using electrocardiogram (ECG) is presented based on cubic spline interpolation method. Three different databases with two different sampling rates containing 36 ECG recordings were used for development and evaluation. Each ECG recording is divided into two segments: a segment for enrolment, and a segment for recognition. The ECG features are extracted from both the training dataset and the test dataset for model development and identification. Two ECG biometric algorithms which are Cross Correlation (CC) and Percent Root-Mean-Square Deviation (PRD) were used for performance evaluation. Results of experiments confirmed that the template matching using interpolation method achieved better accuracy (up to 4.46%) than the existing method without interpolation when using ECG data with lower sampling rate. 2010-11-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/32001/1/iecbes2010.pdf Sidek, Khairul Azami and Sufi, Fahim and Khalil, Ibrahim and Al-Shammary, Dhiah (2010) An efficient method of biometric matching using interpolated ECG data. In: 2010 IEEE EMBS Conference on Biomedical Engineering & Sciences (IECBES 2010), 30 November - 2 December 2010, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5742255&tag=1 |
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TK7885 Computer engineering |
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TK7885 Computer engineering Sidek, Khairul Azami Sufi, Fahim Khalil, Ibrahim Al-Shammary, Dhiah An efficient method of biometric matching using interpolated ECG data |
description |
In this paper, a person identification method using electrocardiogram (ECG) is presented based on cubic spline interpolation method. Three different databases with two different sampling rates containing 36 ECG recordings were used for development and evaluation. Each ECG recording is divided into two segments: a segment for enrolment, and a segment for recognition. The ECG features are extracted from both the training dataset and the test dataset for model development and identification. Two ECG biometric algorithms which are Cross Correlation (CC) and Percent Root-Mean-Square Deviation (PRD) were used for performance evaluation. Results of experiments confirmed that the template matching using interpolation method achieved better accuracy (up to 4.46%) than the existing method without interpolation when using ECG data with lower sampling rate. |
format |
Conference or Workshop Item |
author |
Sidek, Khairul Azami Sufi, Fahim Khalil, Ibrahim Al-Shammary, Dhiah |
author_facet |
Sidek, Khairul Azami Sufi, Fahim Khalil, Ibrahim Al-Shammary, Dhiah |
author_sort |
Sidek, Khairul Azami |
title |
An efficient method of biometric matching using interpolated ECG data |
title_short |
An efficient method of biometric matching using interpolated ECG data |
title_full |
An efficient method of biometric matching using interpolated ECG data |
title_fullStr |
An efficient method of biometric matching using interpolated ECG data |
title_full_unstemmed |
An efficient method of biometric matching using interpolated ECG data |
title_sort |
efficient method of biometric matching using interpolated ecg data |
publishDate |
2010 |
url |
http://irep.iium.edu.my/32001/ http://irep.iium.edu.my/32001/ http://irep.iium.edu.my/32001/1/iecbes2010.pdf |
first_indexed |
2023-09-18T20:46:10Z |
last_indexed |
2023-09-18T20:46:10Z |
_version_ |
1777409689598820352 |