DocumentCode :
3356547
Title :
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
Link To Document :
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