Design and Implementation of DWT for EEG Signal on FPGA

Abstract

EEG signal analysis plays a vital role in the field of treatment and diagnosis of brain and mental diseases and abnormalities. EEG signal analysis includes filtration of raw EEG signal against the noise and antiquity introduced by different system barrier and drawbacks. An improved way of EEG signal analysis using DWT based filtration based on FPGA is proposed in this paper. The system mainly uses the basic concept of DWT for filter design that performs de-noising and used for obtaining important information from EEG signal. In this work Verilog HDL coding is used for simulation purposes. The prototype designed has desired electrical features such as it requires less area and power consumption and less operating voltages and current and less memory storage.