Table 2.
Classification performance of 8 multi-feature sets using an SVM classifier when the training and testing sets are acquired from multiple conditions for multiple EMG datasets (Datasets 1–3).
| Multi-Feature Set | Able-Bodied Subjects | Amputee Subjects | Mean | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Limb Position | Forearm Orientation | Contraction Intensity | Contraction Intensity | ||||||||||||
| 1000 | 200 | d | 1000 | 200 | d | 1000 | 200 | d | 1000 | 200 | d | 1000 | 200 | d | |
| MS1 (TD) | 98.3 | 93.9 | 1.7 * | 98.2 | 92.7 | 1.3 * | 99.1 | 96.8 | 1.0 * | 89.8 | 78.4 | 1.6 * | 96.3 | 90.4 | 1.4 |
| MS2 | 98.8 | 93.3 | 2.0 * | 98.7 | 92.0 | 1.5 * | 99.3 | 96.2 | 1.2 * | 91.9 | 78.7 | 2.1 * | 97.2 | 90.1 | 1.7 |
| MS3 | 99.1 | 94.1 | 2.1 * | 99.1 | 92.4 | 1.6 * | 99.5 | 96.7 | 1.2 * | 93.5 | 79.9 | 2.2 * | 97.8 | 90.8 | 1.8 |
| MS4 | 97.1 | 84.6 | 3.5 * | 96.9 | 84.8 | 2.2 * | 97.7 | 88.6 | 1.8 * | 88.5 | 72.1 | 2.2 * | 95.0 | 82.5 | 2.4 |
| MS5 | 98.9 | 93.4 | 2.1 * | 98.7 | 91.6 | 1.6 * | 99.4 | 95.6 | 1.3 * | 92.7 | 77.6 | 2.4 * | 97.4 | 89.6 | 1.8 |
| MS6 | 98.6 | 92.6 | 2.1 * | 98.1 | 89.6 | 1.9 * | 99.0 | 94.0 | 1.5 * | 91.9 | 76.1 | 2.6 * | 96.9 | 88.1 | 2.0 |
| MS7 | 97.1 | 93.8 | 1.2 * | 97.6 | 92.8 | 1.2 * | 98.6 | 96.2 | 0.9 * | 85.9 | 78.8 | 0.9 * | 94.8 | 90.4 | 1.0 |
| MS8 | 99.1 | 93.7 | 2.1 * | 99.0 | 92.2 | 1.6 * | 99.6 | 96.4 | 1.4 * | 93.1 | 79.6 | 2.1 * | 97.7 | 90.5 | 1.8 |
* Denotes a significant difference between 1000 Hz and 200 Hz ().