Dipole estimation with a combination of noise reduction and spatial filter

S. Okawa, S. Honda

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An analysis of magnetoencephalography data with a reduction of noise by a Kalman filter, independent component analysis and a reconstruction of current dipole via a non-adaptive spatial filter is proposed and applied to actual data. The N1m component is extracted and the bilateral neural activity is reconstructed from a set of single-trial AEF (auditory evoked field) data.

Original languageEnglish
Pages (from-to)249-252
Number of pages4
JournalInternational Congress Series
Volume1300
DOIs
Publication statusPublished - 2007 Jun

Fingerprint

Magnetoencephalography
Noise

Keywords

  • Independent component analysis
  • Inverse problem
  • Kalman filter
  • Magnetoencephalography
  • Spatial filter

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Dipole estimation with a combination of noise reduction and spatial filter. / Okawa, S.; Honda, S.

In: International Congress Series, Vol. 1300, 06.2007, p. 249-252.

Research output: Contribution to journalArticle

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