Sparse source imaging in EEG

Lei Ding, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We have developed a new L1-norm based minimum norm estimate (MNE), which is termed as sparse source imaging (SSI). The new SSI algorithm corrects inaccurate orientation discrepancy in previously reported L1-norm MNEs. A new solver to the newly developed SSI has been adopted and known as the second order cone programming (SOCP). The new SSI is assessed by a series of computer simulations. The performance of SSI is compared with other L1-norm MNEs by evaluating the localization error and orientation error. The present simulation results indicate that the new SSI has significantly improved performance, especially in the metric of orientation error. The previously reported L1-norm MNEs show large orientation errors due to the orientation discrepancy. The new SSI algorithm is also applicable to MEG source imaging.

Original languageEnglish (US)
Title of host publicationProc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007
Pages20-23
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007 - Hangzhou, China
Duration: Oct 12 2007Oct 14 2007

Publication series

NameProc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007

Other

Other2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007
CountryChina
CityHangzhou
Period10/12/0710/14/07

Keywords

  • EEG
  • GMNE
  • L1-norm
  • LP
  • SCOP
  • Source field modeling
  • Sparse source imaging
  • Sparseness regularization

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