Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures

摘要

Background: This paper presents optimized configuration of multilayer perceptron neural network (MLP-NN) as a pattern classifier for recognition of intracranial electroencephalogram (iEEG) epileptic seizures. Though qualitative analysis of intracranial recordings from the patients involves cumbersome procedure, it provides significant neuronal activities of the brain that is essential for clinical decision making.