Lucca Gamballi, Daniel G. Tiglea, Renato Candido, Magno T. M. Silva. Redes MLP distribuídas para classificação de arritmias cardíacas. Simpósio Brasileiro de Telecomunicações – SBrT’2022, 2022, Santa Rita do Sapucaí, Anais do SBrT 2022, 2022, pp. 1–5. (available only in portuguese)

Abstract

In this paper, multilayer perceptron neural networks are used to classify cardiac arrhythmias with a distributed approach. The training data is split between networks that communicate through a certain topology, in which each network does not have access to the training data of the others. This approach is employed to ensure patient data privacy. To obtain a clinically realistic result, data from the same patient are not considered concurrently in the training and test sets. Simulations indicate that the performance obtained with distributed training and a suitable topology is similar to the one observed with the classical training.

Keywords

Artificial neural networks, multi-layer perceptron, distributed processing, topology, cardiac arrhythmia.

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