Epilepsy Detection Using Artificial Neural Networks


  • Matheus Adler Soares Pinto State University of Maranhão
  • Bruno Rocha Gomes State University of Maranhão
  • João Pedro Moreno Vale State University of Maranhão
  • André Luis Rolim de Castro Silva State University of Maranhão
  • Teixeira Castro das Chagas State University of Maranhão
  • Wellison Silva Santos State University of Maranhão
  • Victor Hugo Silva Alves State University of Maranhão
  • Davi Costa Nascimento Federal University of Maranhão
  • Marta de Oliveira Barreiros State University of Maranhão




Epilepsy, Electroencephalogram, Artificial neural networks, Multilayer Perceptron, Seizure detection


Epilepsy is a neurological disorder, where there is a cluster of brain cells that behave in a hyperexcitable manner, the individual can promote injuries, trauma or, in more severe cases, sudden death. Electroencephalogram (EEG) is the most used way to detect epileptic seizures. Therefore, more simplified methods of analysis of the EEG can help in the diagnosis and treatment of these individuals more quickly. In this study, we extracted pertinent EEG characteristics to assess the epileptic seizure period. We use Perceptron Multilayer artificial neural networks to classify the period of the crisis, obtaining a more efficient diagnosis. The multilayer neural network obtained an accuracy of 98%. Thus, the strategy of extracting characteristics and the architecture of the assigned network were sufficient for a rapid and accurate diagnosis of epilepsy.


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Author Biographies

Matheus Adler Soares Pinto, State University of Maranhão

Department of Computer Engineering

Bruno Rocha Gomes, State University of Maranhão

Department of Computer Engineering

João Pedro Moreno Vale, State University of Maranhão

Department of Computer Engineering

André Luis Rolim de Castro Silva, State University of Maranhão

Department of Computer Engineering

Teixeira Castro das Chagas, State University of Maranhão

Department of Computer Engineering, State University of Maranhão, São Luiz, MA, Brazil

Wellison Silva Santos, State University of Maranhão

Department of Computer Engineering

Victor Hugo Silva Alves, State University of Maranhão

Department of Computer Engineering

Davi Costa Nascimento, Federal University of Maranhão

Department of Electrical Engineering

Marta de Oliveira Barreiros, State University of Maranhão

Department of Computer Engineering


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How to Cite

Soares Pinto, M. A. ., Rocha Gomes, B. ., Moreno Vale, J. P., Rolim de Castro Silva, A. L. ., Teixeira Castro das Chagas, J. ., Silva Santos, W. ., Silva Alves, V. H. ., Costa Nascimento, D. ., & Barreiros, M. de O. (2020). Epilepsy Detection Using Artificial Neural Networks. International Journal for Innovation Education and Research, 8(4), 323–328. https://doi.org/10.31686/ijier.vol8.iss4.2292