Arrhythmia disease classification using Artificial Neural Network model

In this paper we proposed an automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia disease using standard 12 lead ECG signal recordings. In this study, we are mainly interested in classifying different arrhythmia types (classes) using multilayer peceptron (MLP)...

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Bibliographische Detailangaben

Hauptverfasser:	Jadhav, S M, Nalbalwar, S L, Ghatol, A A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification algorithms Diseases ECG arrhythmia Electrocardiography momentum learning rule Multilayer perceptron classification Testing Training
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