Abstract
A spatial filter which does not utilize prior and temporal information is proposed for MEG (magnetoencephalography) analysis. Stochastic characteristics of the current density distribution estimated with a spatial filter is considered to improve the estimation. Second and fourth order cumulants are utilized to design a spatial filter. A numerical experiment shows the fourth order cumulants are effective for localization.
| Original language | English |
|---|---|
| Pages | 590-594 |
| Number of pages | 5 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10 |
Other
| Other | SICE Annual Conference 2005 |
|---|---|
| Country/Territory | Japan |
| City | Okayama |
| Period | 05/8/8 → 05/8/10 |
Keywords
- Higher-order statistics
- Inverse problem
- Magnetoencephalography
- Spatial filter
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering