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Spatial source location analysis of EEG signals for multimodal mental tasks

Authors :
Wang Li
Dong Qianyan
Huang Zhipeng
Xie Yuhuai
Hu Xiao
Source :
Dianzi Jishu Yingyong, Vol 44, Iss 4, Pp 77-80 (2018)
Publication Year :
2018
Publisher :
National Computer System Engineering Research Institute of China, 2018.

Abstract

In order to analyze the cerebral cortex activating by multimodal mental tasks with reading Chinese silently, electroencephalography(EEG) signals related to mental tasks are analyzed using the spatial source location. Firstly, the EEG signals of all electrodes are decomposed into independent components by independent component analysis. Each component can be considered from an equivalent dipole, and its position and direction are calculated in the cerebral cortex. Then, the dipole associated with the mental task is determined by time-frequency analysis. Finally, the differences of dipoles from multimodal mental tasks are analyzed and compared with single mode. After analyzing the results of 10 subjects, the average numbers of dipoles associated with two multimodal mental tasks are respectively calculated as 5 and 4.3, which are more than single mode tasks. The sorting of dipole numbers is consistent with the average classification accuracies of the four tasks. It suggests that more activation of the cerebral cortex is beneficial to improve the accuracy of classification. The validity and rationality of the experiment is also verified.

Details

Language :
Chinese
ISSN :
02587998
Volume :
44
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Dianzi Jishu Yingyong
Publication Type :
Academic Journal
Accession number :
edsdoj.131ce4658da04636b521a8796e82d102
Document Type :
article
Full Text :
https://doi.org/10.16157/j.issn.0258-7998.174336