摘要
脑电逆问题是一个欠定问题,引入适当的约束或迭代技巧是改善解的性能的有效途径．该文提出了一种将自相干增强算法(SCEA)和迭代聚焦算法(FOCUSS)相结合的新算法．该方法以最小模解为出发点,对其用聚类算法进行分区和自相干增强,然后进行遮代聚焦．针对皮层源的仿真计算表明,该方法可实现对不同强度的多源成像．
Electroencephalogram inverse is an underdetermined problem.Various constraints or iteration strategies are being considered to improve the performance of the inverse.In this work,a new approach integrated Self-coherence Enhancement Algorithm(SECA)and Focal Underdetermined System Solver(FOCUSS)approach is proposed.Based on a minimum norm solution,this approach applies SECA to the multiple sub-regions of the solution space obtained,and then FOCUSS is utilized to further focalize the solution.The simulations f...
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第S1期714-716,共3页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(90208003)
973计划资助项目(2003C13716106)
关键词
脑电逆问题
相干
分域
迭代
聚焦
electroencephalogram inverse
coherence
solution space decomopsition
iteration
focalization
