Title :
Sparsity-driven spatio-temporal EEG source estimation
Author :
Batu, Özge ; Cetin, Müjdat
Author_Institution :
Muhendislik ve Doga Bilimleri Fak., Sabanci Univ., Istanbul, Turkey
Abstract :
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.
Keywords :
electroencephalography; medical signal processing; spatiotemporal phenomena; multiple time samples; nonspiky pattern; sparse source estimation; sparsity-driven spatiotemporal EEG source estimation; spatial ℓ1-norm; spatiotemporal constraint; temporal ℓ2-norm; Brain modeling; Conferences; Electroencephalography; Humans; Image reconstruction; Integrated circuit modeling; Signal processing;
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
DOI :
10.1109/SIU.2011.5929817
