The Method of Multidimensional Support Vector Regression for Moving Dipole Localization of Face Ezpression
Brain signal source localization is a process of inverse calculation from electroencephalogram (EEG) signal. A new method of Multidimensional Support Vector Regression (MSVR) with similar iterative re-weight least square (IRWLS) is firstly used in source localization of face expression. In order to discover the relationship between sensor information and internal source in the brain, the moving dipole with four-shell concentric sphere model was reconstructed. Its location parameters and components were fitted in a series of time points. EEG signals of face expression were adopted in our experiments. Satisfactory results demonstrate that MSVR based on the support vector machine can obtain more robust estimations for EEG inverse problem.
EEG inverse problem multidimensional support vector regression moving dipole face ezpression
Jian-wei LI You-hua WANG Qing WU Jin-long An Yu-fang WEI
Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology TianJin, China
国际会议
上海
英文
2353-2356
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）