In the last decade, the possibility to noninvasively estimate cortical activity has been highlighted by the application of the techniques known as high resolution EEG. These techniques include a subject's multi-compartment head model (scalp, skull, dura mater, cortex) constructed from individual magnetic resonance images, multi-dipole source model, and regularized linear inverse source estimates of cortical current density. The aim of this paper is to demonstrate that the use of cortical activity estimated from noninvasive EEG recordings of motor imagery is useful in the context of a Brain Computer Interface as compared with others scalp spatial filters usually used on-line. © 2006 IEEE.
Neuroelectrical source imaging of mu rhythm control for BCI applications / M., Mattiocco; Babiloni, Fabio; D., Mattia; S., Bufalari; S., Sergio; Salinari, Serenella; M. G., Marciani; Cincotti, Febo. - 1:(2006), pp. 980-983. (Intervento presentato al convegno 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 tenutosi a New York, NY nel 30 August 2006 through 3 September 2006) [10.1109/iembs.2006.260128].
Neuroelectrical source imaging of mu rhythm control for BCI applications
BABILONI, Fabio;SALINARI, Serenella;CINCOTTI, FEBO
2006
Abstract
In the last decade, the possibility to noninvasively estimate cortical activity has been highlighted by the application of the techniques known as high resolution EEG. These techniques include a subject's multi-compartment head model (scalp, skull, dura mater, cortex) constructed from individual magnetic resonance images, multi-dipole source model, and regularized linear inverse source estimates of cortical current density. The aim of this paper is to demonstrate that the use of cortical activity estimated from noninvasive EEG recordings of motor imagery is useful in the context of a Brain Computer Interface as compared with others scalp spatial filters usually used on-line. © 2006 IEEE.File | Dimensione | Formato | |
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