Imaging Methods for MEG/EEG Inverse Problem
نویسندگان
چکیده
Recovering electrical activity of the brain from MEG/EEG measurements is known as the MEEG inverse problem. It is an ill-posed problem in several senses. One is that there is further less data observed than data to recover. One way to address this issue is to search for regular solutions. We present here a framework for applying image processing filtering techniques to the MEEG inverse problem. Exprimentations are presented on synthetic dara and validation is carried out on one real MEG data set.
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