A neuro-fuzzy system to support in the diagnostic of epileptic events and non-epileptic events using different fuzzy arithmetical operations.
| Autor: | Carvalho LM; Passo Fundo University, Passo Fundo, RS, Brazil., Nassar SM, Azevedo FM, Carvalho HJ, Monteiro LL, Rech CM |
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| Jazyk: | angličtina |
| Zdroj: | Arquivos de neuro-psiquiatria [Arq Neuropsiquiatr] 2008 Jun; Vol. 66 (2A), pp. 179-83. |
| DOI: | 10.1590/s0004-282x2008000200007 |
| Abstrakt: | Objective: To investigate different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic events. Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning algorithm (ANNB). Results: The study was composed by 244 patients with a bigger frequency of the feminine sex. The number of right decisions at the test phase, obtained by the NEFCLASS and ANNB was 83.60% and 90.16%, respectively. The best sensibility result was attained by NEFCLASS (84.90%); the best specificity result were attained by ANNB with 95.65%. Conclusion: The proposed neuro-fuzzy system combined the artificial neural network capabilities in the pattern classifications together with the fuzzy logic qualitative approach, leading to a bigger rate of system success. |
| Databáze: | MEDLINE |
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