Sparsity-driven spatio-temporal EEG source estimation
Özge Batu, Müjdat Çetin · 2011
We consider the problem of sparse source estimation using multiple time samples. We propose the use of a spatio-temporal constraint which is a combination of spatial ℓ1-norm for sparsity and temporal ℓ2-norm for nonspiky pattern in time. We demonstrate the effectiveness of this spatio-temporal method through experiments based on both simulated and human EEG data.