Conventional brain maps suffer from severe limitations due to both spatial blur of potential distributions and to the dependence on electrical reference. Surface Laplacian has been used to deblurr ERP since it acts as an high-pass spatial filter that reduces the head volume conductor effects and eliminates the influence of electrical reference activity.. Single sweep SNR can be improved by Autoregressive with exogenous input (ARX) modelling.
Spatial and temporal distribution enhancemnet of Movement Related Brain Macropotentials / Filligoi, Giancarlo; Capitanio, L.; Babiloni, Fabio; Fattorini, Luigi; Babiloni, Claudio; Onorati, P.; Urbano, A.. - STAMPA. - 1:(1995), pp. 44-44. (Intervento presentato al convegno International Conf. on Clinical Applications of Advanced EEG data tenutosi a Roma (Italy) nel 8-9 Maggio 1995).
Spatial and temporal distribution enhancemnet of Movement Related Brain Macropotentials
FILLIGOI, Giancarlo;BABILONI, Fabio;FATTORINI, Luigi;BABILONI, CLAUDIO;P. Onorati;
1995
Abstract
Conventional brain maps suffer from severe limitations due to both spatial blur of potential distributions and to the dependence on electrical reference. Surface Laplacian has been used to deblurr ERP since it acts as an high-pass spatial filter that reduces the head volume conductor effects and eliminates the influence of electrical reference activity.. Single sweep SNR can be improved by Autoregressive with exogenous input (ARX) modelling.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
