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Auditory Evoked Fields Analysis Using EMD and ICA

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/39658

Title: Auditory Evoked Fields Analysis Using EMD and ICA
Authors: Yang, Juhong Browse this author
Shi, Qiwei Browse this author
Cao, Jianting Browse this author
Takeda, Tsunehiro Browse this author
Keywords: empirical mode decomposition (EMD)
intrinsic mode function (IMF)
independent component analysis (ICA)
magnetoencephalographic (MEG)
Issue Date: 4-Oct-2009
Publisher: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee
Journal Title: Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference
Start Page: 165
End Page: 168
Abstract: The empirical mode decomposition (EMD) is a time-frequency analysis method for analyzing the nonlinear and non-stationary biomedical data which combined with the independent component analysis (ICA) approach allows for more powerful source noise reduction. This paper presents a novel technique for decomposing and localizing the magnetoencephalographic (MEG) data with auditory evoked fields (AEFs) experiment based on EMD and ICA associated with the source localization technique. Applying our technique to the unaveraged single-trial AEFs data, we demonstrate the simulation results.
Description: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Advances in Signal Processing for Brain Data Analysis and Feature Extraction (5 October 2009).
Type: proceedings
URI: http://hdl.handle.net/2115/39658
Appears in Collections:北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)

 

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