Adaptive estimation strategy for coupled EEG-MEG analysis

Abstract

Human brain electric activity related to important physiological functions can be pictured from bio electric and/or bio magnetic measurements through inverse problems approach. In this paper an iterative strategy is presented. The strategy is optimized to reconstruct brain activity confined in a sub region of the brain volume by jointly processing both bioelectric and biomagnetic signals. The procedure takes advantage from intermediate evaluations to improve the resolution, while limiting the number of unknowns. The advantages of the proposed approach is a higher robustness against noise and uncertainty and better effectiveness.