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An efficient method of biometric matching using interpolated ECG data

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.

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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.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4698/32001
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc Prof Dr Khairul Azami Sidek
Date Deposited: 17 Sep 2013 09:03
Last Modified: 17 Sep 2013 09:03
URI: http://irep.iium.edu.my/id/eprint/32001

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