Removal of ocular artifact from EEG based on JADE.
- Author:
Yan TANG
1
;
Jingtian TANG
Author Information
1. Biomedical Engineering School of Info-Physics Engineering Central, South University, Changsha 410083, China. tangyan@mail.csu.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electroencephalography;
methods;
Electrooculography;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2008;25(3):520-523
- CountryChina
- Language:Chinese
-
Abstract:
The method of Joint approximate diagonalization (JADE) is used to remove the ocular artifact from Electroencephalogram (EEG). As the JADE algorithm can be used to separate sub-gaussian and super-gaussian sources, it is possible to extract the signals that are statistically independent, and to identify the spatial map that is associated with the artifactual component. Thus the method can remove artifactual component. Satisfactory results illustrate the robust and practicability of the algorithm.