Share Email Print
cover

Proceedings Paper

Wavelet package frequency-band energy ratios of human EEG signals in sleeping
Author(s): Li Wang; Qingpeng Han; Ping Wang; Bangchun Wen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Human EEG (Electroencephalogram) signals, including 4 rhythms i.e. δ, θ, α, β, are typically nonlinear. They just coincide with different human sleeping states. The wavelet package decomposition and reconstruction techniques are firstly introduced in order to analyze the nonlinear EEG. A 6 level decomposition of EEG was achieved with "db20" as the mother wavelet, and the above 4 rhythms were combined with specialized 8 frequency sub-bands obtained in wavelet package transform. The four frequency band energy ratios, with normalized values, were calculated from the reconstructed signals. These frequency band energy ratios are used as quantify estimation indexes for human sleeping states. The experimental results confirm the proposed method to be effective.

Paper Details

Date Published: 21 March 2006
PDF: 7 pages
Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 60401U (21 March 2006); doi: 10.1117/12.664236
Show Author Affiliations
Li Wang, Northeastern Univ. (China)
Qingpeng Han, Yangzhou Univ. (China)
Zhejiang Univ. (China)
Ping Wang, Zhejiang Univ. (China)
Bangchun Wen, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 6040:
ICMIT 2005: Mechatronics, MEMS, and Smart Materials
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

© SPIE. Terms of Use
Back to Top