A fuzzy clustering neural network architecture for classification of ECG arrhythmias

Accurate and computationally efficient means of classifying electrocardiography (ECG) arrhythmias has been the subject of considerable research effort in recent years. This study presents a comparative study of the classification accuracy of ECG signals using a well-known neural network architecture...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 36; no. 4; pp. 376 - 388
Main Authors:	Özbay, Yüksel, Ceylan, Rahime, Karlik, Bekir
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.04.2006
Subjects:	Adult Algorithms Arrhythmia Arrhythmias, Cardiac - classification Clustering Computer applications Diagnosis ECG Electrocardiograms Electrocardiography Female Fuzzy c-means Fuzzy clustering Fuzzy Logic Fuzzy set theory Health care Humans Male Medicine Multilayer perceptron Neural network Neural networks Neural Networks (Computer) Pattern recognition Pattern Recognition, Automated Fuzzy clustering Arrhythmia ECG Multilayer perceptron Neural network Pattern recognition Fuzzy c-means
ISSN:	0010-4825, 1879-0534
Online Access:	Get full text
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