| タイトル | Enabling computer decisions based on EEG input |
| 著者（英） | Culpepper, Benjamin J.; Keller, Robert M. |
| 発行日 | 2003-12-01 |
| 言語 | eng |
| 内容記述 | Multilayer neural networks were successfully trained to classify segments of 12-channel electroencephalogram (EEG) data into one of five classes corresponding to five cognitive tasks performed by a subject. Independent component analysis (ICA) was used to segregate obvious artifact EEG components from other sources, and a frequency-band representation was used to represent the sources computed by ICA. Examples of results include an 85% accuracy rate on differentiation between two tasks, using a segment of EEG only 0.05 s long and a 95% accuracy rate using a 0.5-s-long segment. |
| NASA分類 | Man/System Technology and Life Support |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/295107 |
