Current density estimation with time-invariant spatial filter in MEG analysis

Shinpei Okawa, Satoshi Honda

研究成果: Paper

抜粋

A spatial filter which does not utilize prior and temporal information is proposed for MEG (magnetoencephalography) analysis. Stochastic characteristics of the current density distribution estimated with a spatial filter is considered to improve the estimation. Second and fourth order cumulants are utilized to design a spatial filter. A numerical experiment shows the fourth order cumulants are effective for localization.

元の言語English
ページ590-594
ページ数5
出版物ステータスPublished - 2005 12 1
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8 82005 8 10

Other

OtherSICE Annual Conference 2005
Japan
Okayama
期間05/8/805/8/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

フィンガープリント Current density estimation with time-invariant spatial filter in MEG analysis' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Okawa, S., & Honda, S. (2005). Current density estimation with time-invariant spatial filter in MEG analysis. 590-594. 論文発表場所 SICE Annual Conference 2005, Okayama, Japan.