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...
Main Authors: | , |
---|---|
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 |