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Arrhythmia recognition using artificial neural networks


N.A. Al-khulaidi, R.V. Isakov, L.T. Sushkova

The paper presents results of research capabilities of automated classification of arrhythmias using neural network analysis of the correlation rhythmogram (scattergram). Based on the scattergram, a database of arrhythmias was created, corresponding to the known types of heart diseases associated with cardiac arrhythmia. They were grouped into eight main classes. Comparison of multi-layered perceptron and modular construction of neuron network organization was in-process produced, as variants of the automated analysis of arrhythmia. Analysis of the results shows that the modular structure of neural network analyzer cardiac arrhythmias has the higher effectiveness.

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