Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
469926 | Computer Methods and Programs in Biomedicine | 2006 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yeong Pong Meau, Fatimah Ibrahim, Selvanathan A.L. Narainasamy, Razali Omar,