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.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Meau YP,Ibrahim F,Narainasamy SA,Omar Rdoi
10.1016/j.cmpb.2006.03.003subject
Has Abstractpub_date
2006-05-01 00:00:00pages
157-68issue
2eissn
0169-2607issn
1872-7565pii
S0169-2607(06)00065-4journal_volume
82pub_type
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