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Publicação
Emboli classification using RBF neural networks
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Orientador(es)
Resumo(s)
The presence of emboli in the medium cerebral artery may cause severe brain damage or, in the worst case, death. Emboli classification is not a deterministic task
for the lack of universally accepted classification rules. In this work the use of Radial Basis Functions Neural Networks (RBFNN) is proposed to distinguish among solid emboli, liquid emboli, or artifacts, using as indicators a ratio between signal powers and emboli duration. The result of this work demonstrates that, with RBFNN, it is possible to classify emboli with approximately 88% success.
Descrição
Palavras-chave
Classification Neural Networks Radial Basis Functions
Contexto Educativo
Citação
Teixeira, C. A.; Ruano, M. G.; Ruano, A. E. Emboli Classification using RBF Neural Networks. Trabalho apresentado em 6th Portuguese Conference on Automatic Control (Controlo 2004), In 6th Portuguese Conference on Automatic Control (Controlo 2004), Faro, 2004.