Design and Implementation of EEG Signal Analysis on FPGA

Abstract

EEG signals is complex and non-stationary signal so that requires real time processing. This processing of digital signal (DSP) algorithms requires running them with minimal delay device; one of these devices is FPGA which present low cost and high speed implementation. This project presents the hardware implementation of BCI system which aims to make communication between brain and external device. The technique of EEG signal processing using FPGA architecture by generating VHDL code from Xilinx MATLAB SIMULINK blocks into ISE is proposed in this work. The band pass filter was designed using FDATool to achieve the wanted range of whole the signal in order to signal segmentation, and then the 2 levels DWT system was designed using high and low pass filters to extract the features of the input signal. This work faced several challenges in designing filters with Xilinx blocks.