Novel EEG source localization method based on FOCUSS iteration procedure combined with lp norm sparse constraints

作者：Xu Peng^*; Yao De Zhong; Chen Hua Fu

来源：Acta Electronica Sinica, 2006, 34(1): 55-58.

• Electroencephalography source imaging
• Focal underdetermined system solver
• Sparsity
• Underdetermined system

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 lp norm sparse constraints. In this algorithm, the sparse constraint of solution, lp norm, is integrated into the modified iterative procedure of FOCUSS, and it is the renewed weight subjected to the lp 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.

• 出版日期2006
• 单位电子科技大学