Extraction method of the magnetoencephalography somatosensory evoked signals based on the MP decomposition
10.3969/J.ISSN.1672-8270.2014.05.018
- VernacularTitle:基于匹配追踪的脑磁图体感诱发信号提取方法
- Author:
Jie GUO
;
Hanmin YAN
- Publication Type:Journal Article
- Keywords:
Magnetoencephalography;
Somatosensory evoked fields;
Short time fourier transform;
Matching pursuit
- From:
China Medical Equipment
2014;(5):48-51
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Matching pursuit algorithm(MAP),for its good parametric characterization, is applied in Magnetoencephalography(MEG) to study time-frequency distribution. Methods:This paper proposes to apply a high-resolution time-frequency analysis algorithm, the matching pursuit (MP), to extract detailed time-frequency components of SEF signals. Results: Experimental results on cortical SEF signals of several normal subjects show that a series of stable SEF time components can be identified using the MP decomposition algorithm. Conclusion:This study shows that there is a set of stable and minute time-frequency componentsin SEF signals, which are revealed by the MP decomposition. These stable SEF components have specific localizations in the time domain and may provide a reliable index for clinical research of brain function and brain disease pathogenesis.
