A Novel EEG Source Localization Method Based on FOCUSS Iteration Procedure Combined with l_p Norm Sparse Constraints
Chen Huafu · Dianzi xuebao · 2006
How to localize the neural active source areas effectively and precisely from the scalp EEG recordings is a critical issue for clinical neurology and cognitive neuroscience.In this paper,based on the sparsity assumption of brain activities,proposed is a novel iterative EEG source imaging algorithm,which is a modified FOCUSS iteration procedure combined with l_p norm sparse constraints.In this algorithm,the sparse constraint of solution,l_p norm,is integrated into the modified iterative procedure of FOCUSS,and it is the renewed weight subjected to the l_p norm constraints that forces the solution to converge to the active sparse source position effectively.The conducted simulation studies for a random underdetermined system,a 3-shell sphere model and a realistic head model all showed its validation for solving of underdetermined system and EEG source imaging.