2024-03-28T21:40:48Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/396582022-11-17T02:08:08Zhdl_2115_39595hdl_2115_39594hdl_2115_33096Auditory Evoked Fields Analysis Using EMD and ICAYang, JuhongShi, QiweiCao, JiantingTakeda, Tsunehiroempirical mode decomposition (EMD)intrinsic mode function (IMF)independent component analysis (ICA)magnetoencephalographic (MEG)548The 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.Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing CommitteeConference Paperapplication/pdfhttp://hdl.handle.net/2115/39658https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/39658/1/MP-SS2-3.pdfProceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference1651682009-10-04engpublisher