An inversion method based on random sampling for real-time MEG neuroimaging

The MagnetoEncephaloGraphy (MEG) has gained great interest in neurorehabilitation training due to its high temporal resolution. The challenge is to localize the active regions of the brain in a fast and accurate way. In this paper we use an inversion method based on random spatial sampling to solve...

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Bibliographic Details
Main Authors: Pascarella Annalisa, Pitolli Francesca
Format: Article
Language:English
Published: Sciendo 2019-01-01
Series:Communications in Applied and Industrial Mathematics
Subjects:
Online Access:https://doi.org/10.2478/caim-2019-0004