Table 1.
The accuracy of classification sEMG-patterns registered by MYO™ Thalmic. Comparison of standard feature of sEMG signal (RMS) spiking neural networks with lateral inhibition (SP_NEURO) used for classification.
| Subject | RMS | SP_NEURO | DELTA |
|---|---|---|---|
| Subject 1 | 91.30% | 90.3% | −1.00% |
| Subject 2 | 93.60% | 95.5% | 1.90% |
| Subject 3 | 89.40% | 90.4% | 1.00% |
| Subject 4 | 97.85% | 98.8% | 0.95% |
| Subject 5 | 88.40% | 91.6% | 3.15% |
| Subject 6 | 97.25% | 95.6% | −1.65% |
| Subject 7 | 84.65% | 84.7% | 0.00% |
| Subject 8 | 93.35% | 94.5% | 1.10% |
| Subject 9 | 93.80% | 94.1% | 0.25% |
| Subject 10 | 84.60% | 88.0% | 3.35% |
| Mean | 91.4% | 92.3% | 0.9% |
| Standard deviation | 4.7% | 4.2% |