| Автор | Fruitet, Joan |
| Автор | McFarland, Dennis J |
| Автор | Wolpaw, Jonathan R |
| Дата выпуска | 2010-02-01 |
| dc.description | People can learn to control electroencephalogram (EEG) features consisting of sensorimotor-rhythm amplitudes and use this control to move a cursor in one, two or three dimensions to a target on a video screen. This study evaluated several possible alternative models for translating these EEG features into two-dimensional cursor movement by building an offline simulation using data collected during online performance. In offline comparisons, support-vector regression (SVM) with a radial basis kernel produced somewhat better performance than simple multiple regression, the LASSO or a linear SVM. These results indicate that proper choice of a translation algorithm is an important factor in optimizing brain–computer interface (BCI) performance, and provide new insight into algorithm choice for multidimensional movement control. |
| Формат | application.pdf |
| Издатель | Institute of Physics Publishing |
| Копирайт | 2010 IOP Publishing Ltd |
| Название | A comparison of regression techniques for a two-dimensional sensorimotor rhythm-based brain–computer interface |
| Тип | paper |
| DOI | 10.1088/1741-2560/7/1/016003 |
| Electronic ISSN | 1741-2552 |
| Print ISSN | 1741-2560 |
| Журнал | Journal of Neural Engineering |
| Том | 7 |
| Первая страница | 16003 |
| Последняя страница | 16011 |
| Аффилиация | Fruitet, Joan; Ecole Normale Supérieure, 45 rue d'Ulm, 75230 Paris cedex 05, France |
| Аффилиация | McFarland, Dennis J; Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY 12201, USA |
| Аффилиация | Wolpaw, Jonathan R; Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY 12201, USA |
| Выпуск | 1 |
