MEG Source Estimation Using the Fourth Order MUSIC Method(Special Issue on Measurements and Visualization Technology of Biological Information)

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概要

• 論文の詳細を見る

• In recent years, several inverse solutions of magnetoencephalography(MEG)have been proposed. Among them, the multiple signal classification(MUSIC)method utilizes spatio-temporal information obtained from magnetic fields. The conventional MUSIC method is, however, sensitive to Gaussian noise and a sufficiently large signal-to-noise ratio(SNR)is required to estimate the number of sources and to specify the precise locations of electrical neural activities. In this paper, a new algorithm for solving the inverse problem using the fourth order MUSIC(FO-MUSIC)method is proposed. We apply it to the MEG source estimation problem. Numerical simulations demonstrate that the proposed FO-MUSIC algorithm is more robust against Gaussian noise than the conventional MUSIC algorithm.

• 社団法人電子情報通信学会の論文
• 2002-01-01

著者

• Ueno Shoogo

  The Department Of Electrical Engineering Graduate School Of Engineering And With The Department Of B

• NIIJIMA Satoshi

  the Department of Electrical Engineering, Graduate School of Engineering, and with the Department of

• Niijima Satoshi

  The Department Of Electrical Engineering Graduate School Of Engineering And With The Department Of B

関連論文

• MEG Source Estimation Using the Fourth Order MUSIC Method(Special Issue on Measurements and Visualization Technology of Biological Information)

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