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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.
June 24, 2020
May 29, 2020

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