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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Vydáno v:	Computers in biology and medicine Ročník 36; číslo 4; s. 376 - 388
Hlavní autoři:	Özbay, Yüksel, Ceylan, Rahime, Karlik, Bekir
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.04.2006
Témata:	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
On-line přístup:	Získat plný text
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