EEG signal decomposition using wavelet packet on DSP

Author

Lei Sun ; Jinhua Zhang ; Sunan Wang ; Xiaohu Li

Author_Institution

Sch. of Mech. Eng., Xi´an Jiaotong Univ., Xi´an, China

Volume

2

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

750

Lastpage

753

Abstract

In this paper, the author describes the wavelet packet decompostion(WPD) algorithm of EEG signal on digital signal processing (DSP) chip. The analyse of DSP hardware features and wavelet packet principle illustrate the relationship between them and then demonstrate the feasibility and celerity of the algorithm. Furthermore EEG signal is divided into equal frequency band through the CCS and then classified between left and right hand motor imagery with the way of power spectrum. Results indicate that the method is correct.

Keywords

electroencephalography; matrix decomposition; medical signal processing; wavelet transforms; EEG signal decomposition; digital signal processing chip; frequency band; hand motor imagery; power spectrum; wavelet packet decompostion; Algorithm design and analysis; Digital signal processing; Electroencephalography; Signal processing algorithms; Wavelet analysis; Wavelet packets; EEG signal; Wavelet packet decomposition; digital signal processing (DSP) chip; motor imagery;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023204

Filename

6023204