Current Density Reconstruction With Multi-Scale Grid Approach

Abstract

The computational cost of solving electroencephalographic (EEG) or magnetoencephalographic (MEG) inverse problem is extremely high due to the inversion of a matrix configured with a priori information. The matrix size is proportional to the number of points in source grid. We present a multi-scale grid approach to solve the inverse problem using FOCUSS algorithm which is one of the current density reconstruction (CDR) methods and tested the algorithm with simulated EEG data. The multi-scale grid approach dramatically reduces grid points without loss of the resolution.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411360

Entities

People

  • I. B. Lee
  • J. H. Hahm
  • J. M. Han
  • K. S. Park
  • Y. J. Kim

Organizations

  • Seoul National University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Biology
  • Biomedical Engineering
  • Classification
  • Current Density
  • Data Sets
  • Electrodes
  • Engineering
  • Gaussian Distributions
  • Geometry
  • Inverse Problems
  • Military Research
  • Probability
  • Universities
  • Voltage

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neuroscience
  • Statistical inference.