DocumentCode
1543501
Title
Localization of Sources of Brain Activity: A MILP Approach
Author
Freschi, Fabio
Author_Institution
Dept. of Electr. Eng., Politec. di Torino, Torino, Italy
Volume
46
Issue
8
fYear
2010
Firstpage
3429
Lastpage
3432
Abstract
The purpose of this work is to propose and test a mixed integer linear programming formulation for the problem of brain source localization. Such technique allows the localization of the minimum number of currents that are able to reconstruct evoked potentials recorded at the scalp. The algorithm makes use of binary variables in order to be less sensible to noise on input data. Some preliminary simulation results show that the algorithm is effective in source localization and robust with respect to errors on measurement data.
Keywords
bioelectric potentials; linear programming; medical signal detection; MILP approach; brain activity; evoked potentials; mixed integer linear programming formulation; source localization; Bioelectric phenomena; Biomedical measurements; Brain modeling; Electric potential; Electroencephalography; Inverse problems; Magnetic resonance; Mixed integer linear programming; Scalp; Spatial resolution; Bioelectric fields; inverse EEG; mixed integer linear programming; source localization;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2010.2044155
Filename
5512976
Link To Document