FPGA implementation of EEG signal analysis system for the detection of epileptic seizure

Abstract

Epilepsy is a neurological disorder identified by successive sudden seizures resulting from transient and recurrent electrical discharges in the brain. Their detection is possible by analyzing electroencephalogram (EEG) signals. EEG is the commonly used clinical tool for neurological disorders due to the valuable information that contains about brain activities. The work presented in this paper is oriented towards two parts. A first part is dedicated to the description and the validation of our detection system using the classification algorithm, AntMiner+. The second part focuses on the design and the implementation of our application on the Xilinx ZC702 embedded board.