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

• Main Authors: Meau, Y.P., Ibrahim, F., Narainasamy, S.A.L., Omar, R.
• Format: Article
• Language: English
• Published: 2006
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• 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

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...