Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9509414 | Journal of Computational and Applied Mathematics | 2005 | 14 Pages |
Abstract
This paper studies a new numerical scheme applicable to magnetoencephalography (MEG), that is, clustering. This method is based on a new theory to the under-determined ill-posed problem, called parallel optimization, and clusters several electric current elements distributed in a volume conductor by one point in time data, without prescribing the number of dipoles. Numerical experiments and optional algorithms are also included.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Takashi Suzuki,