Single-trial MEG Data Analysis
Magnetoencephalography (MEG) and brain imaging have become important tools in physiology, neuroscience and ergonomics during the past ten years. In this paper we present a method to analyze of signal-trail (MEG) date mainly based on independent component analysis (ICA) approach. The statistical analysis can be constituted with two procedures: the first one is called pre-processing, in which try to reduce the dimension and the power of unique sensor noise. Mixed data is separated by ICA procedure into individual components. The second is called post-processing. We perform a source localization procedure to make single-dipole map of decomposed individual source components. The presented method offers a workable solution to determine location and intensity of human brain activity.
Jianting CAO Liangyu ZHAO
Department of Electronics Engineering, Saitama Institute of Technology 1690 Fusaiji, Okabe, Saitama Department of Electronics Engineering, Saitama Institute of Technology 1690 Fusaiji, Okabe, Saitama
国际会议
上海
英文
1-2
2003-11-09（万方平台首次上网日期，不代表论文的发表时间）