Epilepsy Seizure Detection Using Autoregressive Modelling and Multiple Layer Perceptron Neural Network
作者： Abdelhaq Ouelli , Benachir Elhadadi , Hicham Aissaoui , Belaid Bouikhalene
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摘要: In this paper, we present a new method for epilepsy seizure detection based on autoregressive modelling. The method, termed linear prediction coding (LPC), is used to model ictal and seizure-free EEG signals. It found that the modeling error energy substantially higher signals compared Moreover, it known have than These two parameters are then given as inputs train Multiple Layer Perceptron (MLP). trained MLP classify set of into categories. proposed gives classification accuracy 94.67% when with Levenberg–Marquardt (LM) algorithm.
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