| Texto completo | |
| Autor(es): |
Pereira, Luis A. M.
;
Papa, Joao P.
;
Coelho, Andre L. V.
;
Lima, Clodoaldo A. M.
;
Pereira, Danillo R.
;
de Albuquerque, Victor Hugo C.
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | NEURAL COMPUTING & APPLICATIONS; v. 31, p. 13-pg., 2019-02-01. |
| Resumo | |
Epilepsy is a class of chronic neurological disorders characterized by transient and unexpected electrical disturbances of the brain. The automated analysis of the electroencephalogram (EEG) signal can be instrumental for the proper diagnosis of this mental condition. This work presents a systematic assessment of the performance of different variants of the binary magnetic optimization algorithm (BMOA), two of which are introduced here, while serving as feature selectors for epileptic EEG signal identification. In this context, the optimum-path forest classifier was adopted as a classification model, whereas different wavelet families were considered for EEG feature extraction. In order to compare the performance of the improved BMOA variants against the traditional one, as well as other metaheuristic techniques, namely particle swarm optimization, binary bat algorithm, and genetic algorithm, we employed a well-known EEG benchmark dataset composed of five classes of EEG signals (two of which comprising normal patients with eyes open or closed, and the remaining comprising ill patients with different levels of epilepsy). Overall, the results evidenced the robustness of the proposed BMOA and its variants. (AU) | |
| Processo FAPESP: | 09/16206-1 - Novas tendências em reconhecimento de padrões baseado em floresta de caminhos ótimos |
| Beneficiário: | João Paulo Papa |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |
| Processo FAPESP: | 14/16250-9 - Sobre a otimização de parâmetros em técnicas de aprendizado de máquina: avanços e paradigmas |
| Beneficiário: | João Paulo Papa |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 11/14094-1 - Explorando Abordagens de Múltiplos Rótulos por Floresta de Caminhos Ótimos |
| Beneficiário: | Luis Augusto Martins Pereira |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |