Abstract
The objective of this study is to explore suitable spatial filters for inverse estimation of cortical equivalent dipole layer imaging from the scalp electroencephalogram. The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations. The parametric projection filter (PPF) and parametric Weiner filter (PWF) were applied to an ideal 3D head model under various noise conditions. The present simulation results suggest that the PPF has better performance than the PWF, when the correlation between the signal and noise is low, and the PWF performs better than the PPF when the correlation is high.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 929-930 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Keywords
- Equivalent dipole layer imaging
- High resolution EEG
- Inverse problem
- Parametric Weiner filter
- Parametric projection filter
- Signal and noise covariance