Application of data mining on polynomial based approach for ECG biometric

In this paper, the application of data mining techniques on polynomial based approach for better electrocardiogram (ECG) authentication mechanism is presented. Polynomials being used for ECG data processing have a history of nearly two decades. Recently it has been bringing about promising solution...

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Main Authors:	Sidek, Khairul Azami, Khalil, Ibrahim
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/21791/ http://irep.iium.edu.my/21791/ http://irep.iium.edu.my/21791/1/Application_of_data_mining_on_polynomial_based_approach_for_ECG_biometric.pdf

id	iium-21791
recordtype	eprints
spelling	iium-217912012-02-29T01:45:32Z http://irep.iium.edu.my/21791/ Application of data mining on polynomial based approach for ECG biometric Sidek, Khairul Azami Khalil, Ibrahim T Technology (General) In this paper, the application of data mining techniques on polynomial based approach for better electrocardiogram (ECG) authentication mechanism is presented. Polynomials being used for ECG data processing have a history of nearly two decades. Recently it has been bringing about promising solutions for heart beat recognition problem. General polynomial based approach are used in this research and by using the polynomial coefficients extracted as unique features from the ECG signals, data mining techniques was applied for person identification. A total of 18 ECG recordings from MIT/BIH Normal Sinus Rhythm database (NSRDB) were used for development and evaluation. QRS complexes from each dataset was divided into two parts, the training and the testing dataset which was used to prove the validity of the data mining technique applied. Experimental results was classified using Multilayer Perceptron (MLP) in order to confirm the identity of an individual and was compared with the previous research using polynomials without the use of data mining technique. Our experimentation on a public ECG database suggest that the proposed data mining technique on polynomial based approach significantly improves the identification accuracy by 96% as compared to 87% from the existing study. 2011-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/21791/1/Application_of_data_mining_on_polynomial_based_approach_for_ECG_biometric.pdf Sidek, Khairul Azami and Khalil, Ibrahim (2011) Application of data mining on polynomial based approach for ECG biometric. In: 5th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2011, 20-23 June 2011, Kuala Lumpur, Malaysia. http://www.biomed2011.um.edu.my/upload/155-1/Table%20of%20Contents%20(20110524).pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Sidek, Khairul Azami Khalil, Ibrahim Application of data mining on polynomial based approach for ECG biometric
description	In this paper, the application of data mining techniques on polynomial based approach for better electrocardiogram (ECG) authentication mechanism is presented. Polynomials being used for ECG data processing have a history of nearly two decades. Recently it has been bringing about promising solutions for heart beat recognition problem. General polynomial based approach are used in this research and by using the polynomial coefficients extracted as unique features from the ECG signals, data mining techniques was applied for person identification. A total of 18 ECG recordings from MIT/BIH Normal Sinus Rhythm database (NSRDB) were used for development and evaluation. QRS complexes from each dataset was divided into two parts, the training and the testing dataset which was used to prove the validity of the data mining technique applied. Experimental results was classified using Multilayer Perceptron (MLP) in order to confirm the identity of an individual and was compared with the previous research using polynomials without the use of data mining technique. Our experimentation on a public ECG database suggest that the proposed data mining technique on polynomial based approach significantly improves the identification accuracy by 96% as compared to 87% from the existing study.
format	Conference or Workshop Item
author	Sidek, Khairul Azami Khalil, Ibrahim
author_facet	Sidek, Khairul Azami Khalil, Ibrahim
author_sort	Sidek, Khairul Azami
title	Application of data mining on polynomial based approach for ECG biometric
title_short	Application of data mining on polynomial based approach for ECG biometric
title_full	Application of data mining on polynomial based approach for ECG biometric
title_fullStr	Application of data mining on polynomial based approach for ECG biometric
title_full_unstemmed	Application of data mining on polynomial based approach for ECG biometric
title_sort	application of data mining on polynomial based approach for ecg biometric
publishDate	2011
url	http://irep.iium.edu.my/21791/ http://irep.iium.edu.my/21791/ http://irep.iium.edu.my/21791/1/Application_of_data_mining_on_polynomial_based_approach_for_ECG_biometric.pdf
first_indexed	2023-09-18T20:33:14Z
last_indexed	2023-09-18T20:33:14Z
_version_	1777408876228902912

Application of data mining on polynomial based approach for ECG biometric

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