Time-frequency analysis based on matching pursuit and its application in epilepsy EEG
10.3760/cma.j.issn.1673-4181.2012.01.003
- VernacularTitle:基于匹配追踪的癫痫脑电信号的时频分析
- Author:
Wuyang XIAO
;
Xuyuan ZHENG
- Publication Type:Journal Article
- Keywords:
Matching pursuit;
Time-frequency analysis;
Epilepsy;
Short time Fourier transform;
Wigner-Ville distribution
- From:
International Journal of Biomedical Engineering
2012;35(1):8-13,17
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveMatching pursuit algorithm(MAP),for its good parametric characterization,was applied in epileptic electroencephalography(EEG) to study time-frequency distribution.MethodsSimulation experiment of time-frequency analysis was carried out to verify the matching pursuit algorithm s superiority on frequency resolution and parametric characterization.Fourier transform,Wigner-Ville distribution and matching pursuit algorithm were applied to the time-frequency analysis on normal EEG and epileptic EEG to study epileptic discharge in the time-frequency plane and the results were compared.ResultsSimulation results showed that the matching pursuit algorithm obtained a better time-frequency distribution.Distributions of epileptic EEG and normal EEG had significant difference in time-frequency plane.ConclusionTime-frequency analysis based on matching pursuit can better reveal the EEG characteristics.
