Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization.

IEEE Transactions on Biomedical Engineering(2019)

引用 17|浏览42
暂无评分
摘要
Accurate estimation of the locations and extents of neural sources from electroencephalography and magnetoencephalography (E/MEG) is challenging, especially for deep and highly correlated neural activities. In this study, we proposed a new fully data-driven source imaging method, source imaging based on spatio-temporal basis function (SI-STBF), which is built upon a Bayesian framework, to address ...
更多
查看译文
关键词
Bayes methods,Imaging,Covariance matrices,Brain modeling,Sparse matrices,Image reconstruction,Estimation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要