Signal source estimation based on simultaneous diagonalization of EEG

• SASAYAMA, Teruyoshi

• HAMADA, Shoji

• KOBAYASHI, Tetsuo

Bibliographic Information

Other Title

• 二状態で変化がある脳波共分散行列の同時対角化に基づく信号源推定法
• ニ ジョウタイ デ ヘンカ ガ アル ノウハ キョウ ブンサン ギョウレツ ノ ドウジ タイ カクカ ニ モトズク シンゴウ ゲン スイテイホウ

Abstract

We proposed a signal source estimation method based on simultaneous diagonalization of electroencephalogram (EEG) covariance matrices of two different states such as movement and resting states. We compared performances of the proposed method and conventional minimum variance beamformer them to simulation data in which an increasing signal source of β rhythmic spontaneous EEG activity was located in the primary motor cortex. As a result, it was found that the lower limit of signal-to-noise ratio of the proposed method, in which location bias became lower than 10 mm, was one third of that of minimum variance beamformer. This result indicates that indicates that the proposed method is applicable for signal source estimation that has two different states.

Journal

• 電子情報通信学会技術研究報告. NC, ニューロコンピューティング

  電子情報通信学会技術研究報告. NC, ニューロコンピューティング 111 (483), 299-304, 2012-03

  一般社団法人 電子情報通信学会

Keywords

• ビームフォーマ
• 脳波
• 律動
• 同時対角化

Details

• CRID: 1050001335802606848
• NII Article ID: 110009546328
• NII Book ID: AN10091178
• ISSN: 09135685
• HANDLE: 2433/193894
• NDL BIB ID: 023571485
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I023571485
• Text Lang: ja
• Article Type: journal article
• Data Source:
  • IRDB
  • NDL
  • CiNii Articles
  • KAKEN