open access

https://hdl.handle.net/2115/39658

Auditory Evoked Fields Analysis Using EMD and ICA

英語

magnetoencephalographic (MEG)

2009-10-04

Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee

Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference

165-168

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).

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.

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