| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2576651 | International Congress Series | 2007 | 4 Pages |
Abstract
An analysis of magnetoencephalography data with a reduction of noise by a Kalman filter, independent component analysis and a reconstruction of current dipole via a non-adaptive spatial filter is proposed and applied to actual data. The N1m component is extracted and the bilateral neural activity is reconstructed from a set of single-trial AEF (auditory evoked field) data.
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Authors
S. Okawa, S. Honda,