EEG signal decomposition using wavelet packet on DSP

Lei Sun; Jinhua Zhang; Sunan Wang; Xiaohu Li

doi:10.1109/EMEIT.2011.6023204

EEG signal decomposition using wavelet packet on DSP

Lei Sun
, Jinhua Zhang
, Sunan Wang
, Xiaohu Li

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
Pages	750-753
Number of pages	4
DOIs	https://doi.org/10.1109/EMEIT.2011.6023204
State	Published - 2011
Event	2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011 - Harbin, China Duration: 12 Aug 2011 → 14 Aug 2011

Publication series

Name	Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
Volume	2

Conference

Conference	2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
Country/Territory	China
City	Harbin
Period	12/08/11 → 14/08/11

Keywords

EEG signal
Wavelet packet decomposition
digital signal processing (DSP) chip
motor imagery

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10.1109/EMEIT.2011.6023204

Cite this

Sun, L., Zhang, J., Wang, S., & Li, X. (2011). EEG signal decomposition using wavelet packet on DSP. In Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011 (pp. 750-753). Article 6023204 (Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011; Vol. 2). https://doi.org/10.1109/EMEIT.2011.6023204

Sun, Lei ; Zhang, Jinhua ; Wang, Sunan et al. / EEG signal decomposition using wavelet packet on DSP. Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011. 2011. pp. 750-753 (Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011).

@inproceedings{b21748d150364b7d938a3ba6dc4ae7e9,

title = "EEG signal decomposition using wavelet packet on DSP",

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 = "EEG signal, Wavelet packet decomposition, digital signal processing (DSP) chip, motor imagery",

author = "Lei Sun and Jinhua Zhang and Sunan Wang and Xiaohu Li",

year = "2011",

doi = "10.1109/EMEIT.2011.6023204",

language = "英语",

isbn = "9781612840857",

series = "Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011",

pages = "750--753",

booktitle = "Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011",

note = "2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011 ; Conference date: 12-08-2011 Through 14-08-2011",

}

Sun, L, Zhang, J, Wang, S & Li, X 2011, EEG signal decomposition using wavelet packet on DSP. in Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011., 6023204, Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, vol. 2, pp. 750-753, 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, Harbin, China, 12/08/11. https://doi.org/10.1109/EMEIT.2011.6023204

EEG signal decomposition using wavelet packet on DSP. / Sun, Lei; Zhang, Jinhua; Wang, Sunan et al.
Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011. 2011. p. 750-753 6023204 (Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sun, Lei

AU - Zhang, Jinhua

AU - Wang, Sunan

AU - Li, Xiaohu

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - EEG signal

KW - Wavelet packet decomposition

KW - digital signal processing (DSP) chip

KW - motor imagery

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DO - 10.1109/EMEIT.2011.6023204

M3 - 会议稿件

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SN - 9781612840857

T3 - Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

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EP - 753

BT - Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

T2 - 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

Y2 - 12 August 2011 through 14 August 2011

ER -

Sun L, Zhang J, Wang S, Li X. EEG signal decomposition using wavelet packet on DSP. In Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011. 2011. p. 750-753. 6023204. (Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011). doi: 10.1109/EMEIT.2011.6023204

EEG signal decomposition using wavelet packet on DSP

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