Análise de Preditores no Domínio do Tempo para Classificadores LVQ de Padrões de EEG Relacionados ao Movimento

Título: Análise de Preditores no Domínio do Tempo para Classificadores LVQ de Padrões de EEG Relacionados ao Movimento

Autores: Mukai, Ivana Naomi; Pilla Jr., Valfredo; Lopes, Heitor Silvério

Resumo: In this work is presented an analysis of time domain predictors applied to the detection of EEG patterns related to hand movements. 39 predictors were applied to EEG signals collected from 2 volunteers during the movement tasks. The Pareto’s multiobjective optimization was applied for both cases, individually. The optimized parameters were the speed of processing and the classification performance. The data processed by the predictors selected were used as input patterns to training classifiers based on Kohonen-LVQ (Learning Vector Quantization) neural networks.

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Páginas: 6

Código DOI: 10.21528/CBRN2001-058

Artigo em pdf: 5cbrn_058.pdf

Arquivo BibTex: 5cbrn_058.bib