Title :
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
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;
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
DOI :
10.1109/ISdea.2012.601
