A neuro-fuzzy system to support in the diagnostic of epileptic events and non-epileptic events using different fuzzy arithmetical operations

Arquivos de Neuro-Psiquiatria

Lucimar M.f. De Carvalho²  Silvia Modesto Nassar¹  Fernando Mendes De Azevedo¹  Hugo José Teixeira De Carvalho¹  Lucas Lese Monteiro¹  Ciciliana M. Zílio Rech¹ 

[1] ,Passo Fundo UniversityPasso Fundo RS ,Brazil

关键词: epileptic events;    non epileptic events;    artificial neural network;    fuzzy logic;    eventos epilépticos;    eventos não epilépticos;    rede neural artificial;    lógica difusa;   

DOI  :  10.1590/S0004-282X2008000200007

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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