Design and Implementation of Cost-effective Simple FIR Filter for EEG Signal on FPGA

ABSTRACT

Filter is immensely used to distinguish distinctive human signal progressively. In this article, a digital finite impulse response (FIR) filter is presented for the quick detection of electroencephalogram (EEG) signal to smooth and compress the signal. This paper means to structure an advanced FIR filter based on Field Programmable Gate Array (FPGA) to get faster biomedical signals specially EEG signals. For this respect, a simple and cost-effective FIR filter is introduced to make EEG signal noise free, less costly, less power consuming and simple. It requires less space for chip implementation than other digital filter and avoid the mixture of other biomedical signal. For hardware execution, FPGA board is utilized which is a mix of various logic gates and registers which offers cheap and dependable administrations.