Name
Abstract | ||
|---|---|---|
Objectives: In simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), artifacts on the EEG arise from the switching of magnetic field gradients in the MR scanner. These artifacts depend on head position, and are, therefore, difficult to remove in the presence of subject motion. In this study, gradient artifacts are modeled by multiple templates extracted from e... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBME.2016.2593726 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Electroencephalography,Head,Magnetic heads,Brain modeling,Splines (mathematics),Time series analysis | Spline (mathematics),Computer vision,Residual,Functional magnetic resonance imaging,Computer science,Scanner,Artificial intelligence,Template,Subtraction,Electroencephalography,EEG-fMRI | Journal |
Volume | Issue | ISSN |
63 | 12 | 0018-9294 |
Citations | PageRank | References |
2 | 0.40 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre Levan | 1 | 19 | 1.33 |
| Shuoyue Zhang | 2 | 2 | 0.40 |
| Benjamin R. Knowles | 3 | 39 | 3.59 |
| Maxim Zaitsev | 4 | 121 | 13.13 |
| Jürgen Hennig | 5 | 51 | 5.86 |