Combinações de redes neurais e discriminantes lineares para classificação de arritmias cardíacas
Natália Nagata, Renato Candido, Magno T. M. Silva. Combinações de redes neurais e discriminantes lineares para classificação de arritmias cardíacas, Online Conference. Anais do SBrT 2021, 2021, pp.1–5. (available only in portuguese)
In this work, we use multilayer neural networks (MLP), recurrent neural networks, linear discriminant analysis (LDA) and combinations of these methods for automatic classification of cardiac arrhythmias. In order to obtain clinicall realistic results for the diagnosis, patients records used during the training phase were not used in the test set. The results indicate that the combination of MLP with LDA presents a better performance compared to those of individual models. Furthermore, this combined scheme achieves classification metrics superior to those reported in the literature for the S and V arrhythmia classes.
Machine learning, neural networks, linear discriminant analysis, electrocardiogram, cardiac arrhythmias.