Use of Artificial Neural Networks and Autoregressive Models for Epilepsy Detection from EEG Signals
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Keywords:
EEG, Epilepsy, Artificial Neural Networks, Autoregressive Model, MATLABAbstract
This study aimed to automatically distinguish epileptic patients from healthy individuals using
EEG signals using Electroencephalography (EEG) datasets provided by the University of Bonn. Various
autoregressive (AR) model-based methods were used for feature extraction, and a feed-forward
backpropagation artificial neural network (ANN) was applied for classification. Classification results were
evaluated using various metrics. The study demonstrated that the proposed approach can distinguish
epileptic and healthy signals with high accuracy.
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References
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