Balkan Journal of Electrical and Computer Engineering

2147-284X 2147-284X

MUSA YILMAZ

10.17694/bajece.419544

Engineering

Mühendislik

FPGA-based ANN Design for Detecting Epileptic Seizure in EEG Signal

Karakaya

Baris

Kaya

Turgay

Gulten

Arif

04 30 2018

6 2 83 87 08 09 2015 11 16 2017

2013

Balkan Journal of Electrical and Computer Engineering

This study aims to represent an FPGA (FieldProgrammable Gate Array) design of Artificial Neural Network (ANN) forElectroencephalography (EEG) signal processing in order to detect epilepticseizure. For analyzing brain’s electrical activity, feedforward ANN model isused for classification of EEG signals. The designed ANN output layer makes adecision whether the person has epilepsy or not. In the proposed system, theANN model is programmed and simulated on Xilinx ISE editor via computer andthen, EEG signal data are transferred to FPGA-based ANN emulator core. The Coreis trained on data which are patient’s data and healthy person’s data. Aftertraining, test data is loaded to ANN Emulator Core to detect any epileptic seizureof person’s EEG signal. The main advantage of FPGA in the system is to improvespeed and accuracy for epileptic seizure detection.

ANN EEG FPGA Epilepsy

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