Abstract
We develop a method for estimating evoked responses by magnetoencephalography (MEG) and electroencephalography (EEG) under the assumption that the noise is spatially correlated with unknown covariance. The source is modeled as a collection of current dipoles and the head as a spherical conductor. We approximate the time evolution of the evoked response by a series of functions. We derive a goodness-of-fit procedure for this model. We also test if the covariance matrix of the noise only equals the covariance matrix of the noise when the evoked response is present. A numerical example demonstrating the performance of the proposed method is presented.
| Original language | English |
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| Pages (from-to) | 1224-1227 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 3 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA Duration: Oct 30 1997 → Nov 2 1997 |