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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shun Chi Wu Swindlehurst, A.L. |
| Copyright Year | 1964 |
| Abstract | In this paper, we propose novel matching pursuit (MP)-based algorithms for EEG/MEG dipole source localization and parameter estimation for multiple measurement vectors with constant sparsity. The algorithms combine the ideas of MP for sparse signal recovery and source deflation, as employed in estimation via alternating projections. The source-deflated matching pursuit (SDMP) approach mitigates the problem of residual interference inherent in sequential MP-based methods or recursively applied (RAP)-MUSIC. Furthermore, unlike prior methods based on alternating projection, SDMP allows one to efficiently estimate the dipole orientation in addition to its location. Simulations show that the proposed algorithms outperform existing techniques under various conditions, including those with highly correlated sources. Results using real EEG data from auditory experiments are also presented to illustrate the performance of these algorithms. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 9 |
| File Size | 1021714 |
| Starting Page | 2280 |
| Ending Page | 2288 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 60 |
| Issue Number | 8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Matching pursuit algorithms Brain models Vectors Electroencephalography Indexes sparse representations Alternating projection deflation dipole source localization electroencephalography (EEG) matching pursuit (MP) magnetoencephalography (MEG) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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