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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Okawa, S. Honda, S. |
| Copyright Year | 2003 |
| Description | Author affiliation: Graduate Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan (Okawa, S.; Honda, S.) |
| Abstract | The combination of ICA and new spatial filtering method for MEG analysis are proposed, and some numerical experiments were conducted to ascertain the efficiency of the method and the limit of the estimation without temporal and any prior information but only with the physical model of MEG. The new spatial filter is defined with Kullback-Leibler divergence, and succeeds to estimate the maximum of the current density on the exactly or almost accurate position. Here ICA was introduced to estimate the source signal and it has received some attention in MEG signal processing for elimination of artifacts and noises or extraction of the signal occurred by brain activity. And the proposed image reconstruction method inhibited the expansion of the estimated current density distribution, and it gave the more reliable estimated result. Thus, the combination of ICA and the new spatial filter has feasibility of being a powerful tool for MEG analysis. |
| Starting Page | 1304 |
| Ending Page | 1309 |
| File Size | 356714 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780383524 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-08-04 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE |
| Subject Keyword | Spatial filters Magnetic field measurement Independent component analysis Current density Inverse problems Brain modeling Magnetic sensors Magnetic analysis Current measurement Magnetic fields |
| Content Type | Text |
| Resource Type | Article |
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