Name
Title | ||
|---|---|---|
Distinguishing between moving and stationary sources using EEG/MEG measurements with an application to epilepsy. |
Abstract | ||
|---|---|---|
Performances of electroencephalography (EEG) and magnetoencephalography (MEG) source estimation methods depend on the validity of the assumed model. In many cases, the model structure is related to physical information. We discuss a number of statistical selection methods to distinguish between two possible models using least-squares estimation and assuming a spherical head model. The first model ... |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TBME.2004.843289 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Electroencephalography,Epilepsy,Brain modeling,Magnetoencephalography,Physics,Biomedical measurements,Magnetic field measurement,Magnetic heads,H infinity control,Signal to noise ratio | Least squares,Computer science,Artificial intelligence,Electroencephalography,Computer vision,Pattern recognition,Physical information,Signal-to-noise ratio,Stochastic process,Model selection,Speech recognition,Dipole,Magnetoencephalography | Journal |
Volume | Issue | ISSN |
52 | 3 | 0018-9294 |
Citations | PageRank | References |
1 | 0.39 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imam Samil Yetik | 1 | 154 | 20.93 |
| Arye Nehorai | 2 | 1257 | 126.92 |
| Jeffrey David Lewine | 3 | 1 | 0.39 |
| C. Muravchik | 4 | 543 | 68.59 |