Artificial Neural Network Model Using Short-Term Fourier Transform for Epilepsy Seizure Detection

Feras Barneih,Nida Nasir,Omar Alshaltone, Mahmoud Qatmah,Talal Bonny,Mohammad Al Shabi,Ahmed Al-Shammaa

2022 Advances in Science and Engineering Technology International Conferences (ASET)（2022）

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Abstract

Epilepsy is a neurological illness that can strike anyone at any time in their life. However, a person with epilepsy will experience frequent to uncommon seizures, resulting in death. Electroencephalogram (EEG) signals were used to aid in diagnosing this condition. This paper proposes an Artificial Neural Network (ANN) model to detect epileptic seizures using the five EEG frequency bands (i.e., De...

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Key words

Measurement,Time-frequency analysis,Fourier transforms,Epilepsy,Artificial neural networks,Brain modeling,Feature extraction

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