書誌事項
- タイトル別名
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- A study on noise reduction using ICA for Magnetoencephalography
- ドクリツ セイブン ブンセキ オ モチイタ ノウ ジカイ ケイソク ノ ノイズ ケイゲン ニ カンスル ケンキュウ
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抄録
In the biomagnetic measurement, the biomagnetic signal is extremely weak compared with environmental magnetic noise. Therefore, it is important to reduce the noise component. There are many noise-reduction studies for MEG using Independent Component Analysis (ICA). The ICA method is expectable to extract and remove noise components from the brain magnetic field measurement data. However, in these researches, each obtained independent components are artificially distinguished to the noise and the signal. We propose a method of distinguishing to the noise and the signal automatically by using the signal subspace method for vector brain magnetic field. By applying this method to a phantom data and Auditory Evoked Field data, it is shown improvement of the signal to noise ratio and estimated accuracy.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 124 (9), 1685-1691, 2004
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204606412928
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- NII論文ID
- 10013538458
- 30011602384
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 7076666
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可