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2008 International Conference on BioMedical Engineering and Informatics
Study on EEG Time Series Based on Duffing Equation
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
x 
 
Ye Yuan, Yue Li, "Study on EEG Time Series Based on Duffing Equation," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 516-519, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
x
 
@article{ 10.1109/BMEI.2008.9,
author = {Ye Yuan and Yue Li},
title = {Study on EEG Time Series Based on Duffing Equation},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {516-519},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.9},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Study on EEG Time Series Based on Duffing Equation
SN - 978-0-7695-3118-2
SP516
EP519
A1 - Ye Yuan,
A1 - Yue Li,
PY - 2008
KW - null
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
Duffing equation is used in this paper to study EEG time series. Duffing equation has some special characters, such as sensitivity to weak periodic signals and immunity to some degree of random noise. Normal and epileptic electroencephalogram (EEG) signals can lead Duffing equation to show different phase states, which is utilized for epileptic seizure characterization in this paper. The results on raw EEG time series illustrate the applicability of the proposed Duffing equation based method.
Citation:
Ye Yuan, Yue Li, "Study on EEG Time Series Based on Duffing Equation," bmei, vol. 2, pp.516-519, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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