DocumentCode
1669764
Title
Classification of the Direction Perceived EEG Based on ICA-F-Score Approach
Author
Jin, Jing ; Wang, Xingyu ; Zhang, Jianhua
Author_Institution
Sch. of Inf. Sci. & Eng. East China, Univ. of Sci. & Technol. Shanghai, Shanghai
fYear
2008
Firstpage
1884
Lastpage
1887
Abstract
An experiment was designed to record the electroencephalography, when people caught the vision of different directional moving. Independent components analysis was used to analyze the EEG signal. The selection of independent component has received a great deal of attention in the field of signal processing and image processing. Here, F-score of multisets was used to select the valuable independent components. The analysis result showed that separable features could be obtained when people had different directional perception.
Keywords
electroencephalography; independent component analysis; EEG signal; ICA-F-score; direction perceived EEG classification; electroencephalography; independent components analysis; Brain modeling; Design engineering; Electroencephalography; Image processing; Independent component analysis; Information science; Motion analysis; Signal analysis; Signal processing; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.800
Filename
4535680
Link To Document