• 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