The Application of FPGA-based Discrete Wavelet Transform System in EEG Analysis

Author

Li Nian-qiang ; Nie Yun-jie ; Zhu Wei

Author_Institution

Univ. of Jinan, Jinan, China

fYear

2012

Firstpage

1306

Lastpage

1309

Abstract

The electroencephalogram (EEG) is a kind of biological signals that represents the activity of the brain. Due to the nonstationarity of EEG, the paper analyzed the application of wavelet transform in EEG processing, then combining the mallat algorithm, constructed a one-dimension discrete wavelet transform(1D-DWT) system based on the field programmable gata array(FPGA), with this system, we filtered the noise in the EEG and extracted the basic rhythm of EEG. Experimental results show that the system can filter the noise and extract the EEG signal well.

Keywords

discrete wavelet transforms; electroencephalography; field programmable gate arrays; filtering theory; medical signal processing; 1D-DWT system; EEG analysis; EEG processing; FPGA-based discrete wavelet transform system; biological signals; brain activity; electroencephalogram; field programmable gata array; mallat algorithm; noise filtering; one-dimension discrete wavelet transform; Discrete wavelet transforms; Electroencephalography; Filtering algorithms; Finite impulse response filter; Low pass filters; Wavelet analysis; EEG; FPGA; Mallat; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4577-2120-5

Type

conf

DOI

10.1109/ISdea.2012.601

Filename

6173448