Name
Abstract | ||
|---|---|---|
Beamforming technique can be applied to map the neuronal activities from magnetoencephalographic/electroencephalographic (MEG/EEG) recordings. One of the major difficulties of the scalar-type MEG/EEG beamformer is the determination of accurate dipole orientation, which is essential to an effective spatial filter. This paper presents a new beamforming technique which exploits a maximum contrast criterion to maximize the ratio of the neuronal activity estimated in a specified active state to the activity estimated in a control state. This criterion leads to a closed-form solution of the dipole orientation. Experiments with simulation, phantom, and finger-lifting data clearly demonstrate the effectiveness, efficiency, and accuracy of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TBME.2006.878115 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
phantom,meg,eeg,brain activity,brain mapping,neurophysiology,nervous system,spatial filtering,closed form solution,electroencephalography,magnetoencephalography,neuronal activity | Brain mapping,Beamforming,Computer vision,Neurophysiology,Computer science,Imaging phantom,Artificial intelligence,Dipole,Electroencephalography,Magnetoencephalography,Spatial filter | Journal |
Volume | Issue | ISSN |
53 | 9 | 0018-9294 |
Citations | PageRank | References |
9 | 0.88 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong-Sheng Chen | 1 | 314 | 30.12 |
| Chih-Yu Cheng | 2 | 9 | 1.22 |
| Jen-Chuen Hsieh | 3 | 188 | 27.76 |
| Li-Fen Chen | 4 | 9 | 0.88 |