Noise reduction from MEG data

Shinpei Okawa, Satoshi Honda

研究成果: Paper査読

抄録

A method that reduces sensor noise and artifacts from MEG data is proposed. Factor analysis and Kalman filter are employed for sensor noise reduction. Factor analysis estimates noise covariances for Kalman filter. After the sensor noise reduction, Independent Component Analysis (ICA) is used to eliminate artifacts. Simulation studies confirmed that the signal-to-noise ratio of estimated independent component increases.

本文言語English
ページ1975-1979
ページ数5
出版ステータスPublished - 2004 12 1
イベントSICE Annual Conference 2004 - Sapporo, Japan
継続期間: 2004 8 42004 8 6

Other

OtherSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

ASJC Scopus subject areas

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

フィンガープリント 「Noise reduction from MEG data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル