Abstract
A control method of the prosthetic hand based on the electroencephalogram(EEG) of several designated mental tasks was proposed. The power spectrum density was estimated using Burg method to establish the multi-channel EEG feature vectors. The vectors were fed into a linear neuron network to be classified. After the off-line and on-line tests, a good result on recognizing 3 different modes was got. Using the enhancement of the α -rhythm power when the eyes close as the triggering of the single test, the 3 degree of freedom control over the prosthetic hand was realized.
| Original language | English |
|---|---|
| Pages (from-to) | 1125-1130 |
| Number of pages | 6 |
| Journal | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) |
| Volume | 38 |
| Issue number | 5 |
| State | Published - Sep 2008 |
| Externally published | Yes |
Keywords
- Automatic control technology
- Brain computer interface (BCI)
- Electroencephalogram (EEG) control
- Power spectrum density (PSD) estimation
- Prosthetic hand
- α-rhy
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