Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system

This study presents the development of a hybrid system consisting of an ensemble of Extended Kalman Filter (EKF) based Multi Layer Perceptron Network (MLPN) and a one-pass learning Fuzzy Inference System using Look-up Table Scheme for the recognition of electrocardiogram (ECG) signals. This system c...

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Main Authors: Meau, Y.P., Ibrahim, F., Narainasamy, S.A.L., Omar, R.
Format: Article
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.um.edu.my/9299/1/Intelligent_classification_of_electrocardiogram_%28ECG%29_signal_using_extended_Kalman_Filter_%28EKF%29_based_neuro_fuzzy_system.pdf
http://eprints.um.edu.my/9299/
http://www.scopus.com/inward/record.url?eid=2-s2.0-33646133912&partnerID=40&md5=ff7a7024394a053c4b699c09e20f3625 http://www.sciencedirect.com/science/article/pii/S0169260706000654 http://www.ncbi.nlm.nih.gov/pubmed/16638620
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spelling my.um.eprints.92992017-11-01T05:45:15Z http://eprints.um.edu.my/9299/ Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system Meau, Y.P. Ibrahim, F. Narainasamy, S.A.L. Omar, R. T Technology (General) TA Engineering (General). Civil engineering (General) This study presents the development of a hybrid system consisting of an ensemble of Extended Kalman Filter (EKF) based Multi Layer Perceptron Network (MLPN) and a one-pass learning Fuzzy Inference System using Look-up Table Scheme for the recognition of electrocardiogram (ECG) signals. This system can distinguish various types of abnormal ECG signals such as Ventricular Premature Cycle (VPC), T wave inversion (TINV), ST segment depression (STDP), and Supraventricular Tachycardia (SVT) from normal sinus rhythm (NSR) ECG signal. © 2006 Elsevier Ireland Ltd. All rights reserved. 2006 Article PeerReviewed application/pdf en http://eprints.um.edu.my/9299/1/Intelligent_classification_of_electrocardiogram_%28ECG%29_signal_using_extended_Kalman_Filter_%28EKF%29_based_neuro_fuzzy_system.pdf Meau, Y.P. and Ibrahim, F. and Narainasamy, S.A.L. and Omar, R. (2006) Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system. Computer Methods and Programs in Biomedicine, 82 (2). pp. 157-168. ISSN 0169-2607 http://www.scopus.com/inward/record.url?eid=2-s2.0-33646133912&partnerID=40&md5=ff7a7024394a053c4b699c09e20f3625 http://www.sciencedirect.com/science/article/pii/S0169260706000654 http://www.ncbi.nlm.nih.gov/pubmed/16638620 10.1016/j.cmpb.2006.03.003
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Meau, Y.P.
Ibrahim, F.
Narainasamy, S.A.L.
Omar, R.
Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
description This study presents the development of a hybrid system consisting of an ensemble of Extended Kalman Filter (EKF) based Multi Layer Perceptron Network (MLPN) and a one-pass learning Fuzzy Inference System using Look-up Table Scheme for the recognition of electrocardiogram (ECG) signals. This system can distinguish various types of abnormal ECG signals such as Ventricular Premature Cycle (VPC), T wave inversion (TINV), ST segment depression (STDP), and Supraventricular Tachycardia (SVT) from normal sinus rhythm (NSR) ECG signal. © 2006 Elsevier Ireland Ltd. All rights reserved.
format Article
author Meau, Y.P.
Ibrahim, F.
Narainasamy, S.A.L.
Omar, R.
author_facet Meau, Y.P.
Ibrahim, F.
Narainasamy, S.A.L.
Omar, R.
author_sort Meau, Y.P.
title Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
title_short Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
title_full Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
title_fullStr Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
title_full_unstemmed Intelligent classification of electrocardiogram (ECG) signal using extended Kalman Filter (EKF) based neuro fuzzy system
title_sort intelligent classification of electrocardiogram (ecg) signal using extended kalman filter (ekf) based neuro fuzzy system
publishDate 2006
url http://eprints.um.edu.my/9299/1/Intelligent_classification_of_electrocardiogram_%28ECG%29_signal_using_extended_Kalman_Filter_%28EKF%29_based_neuro_fuzzy_system.pdf
http://eprints.um.edu.my/9299/
http://www.scopus.com/inward/record.url?eid=2-s2.0-33646133912&partnerID=40&md5=ff7a7024394a053c4b699c09e20f3625 http://www.sciencedirect.com/science/article/pii/S0169260706000654 http://www.ncbi.nlm.nih.gov/pubmed/16638620
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