Title :
Localization of Sources of Brain Activity: A MILP Approach
Author_Institution :
Dept. of Electr. Eng., Politec. di Torino, Torino, Italy
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2010.2044155