Name
Abstract | ||
|---|---|---|
We present a systematic technique for extraction of useful information from large-scale neural data in the context of brain-computer interfaces. The technique is based on a direct linear discriminant analysis, recently developed for face recognition problems. We show that this technique is capable of extracting useful information from brain data in a systematic fashion and can serve as a general analytical tool for other types of biomedical data, such as images and collections of images (movies). The performance of the method is tested on intracranial electroencephalographic data recorded from the human brain. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IEMBS.2006.259678 | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference |
Keywords | DocType | Volume |
electroencephalography,face recognition,feature extraction,medical computing,neurophysiology,user interfaces,biomedical data,brain-computer interfaces,face recognition problems,feature extraction,human brain,intracranial electroencephalographic data,large-scale brain data,linear discriminant analysis | Conference | 1 |
ISSN | ISBN | Citations |
1557-170X E-ISBN : 1-4244-003303 | 1-4244-003303 | 2 |
PageRank | References | Authors |
0.38 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koel Das | 1 | 2 | 0.38 |
| Joerg Meyer | 2 | 67 | 4.42 |
| Zoran Nenadic | 3 | 21 | 3.92 |