Intensity | Method | ML-DRSNet | ML-DCNN | MT-DCNN |
---|---|---|---|---|
10% MVC | Precision | 0.92 ± 0.18 | 0.84 ± 0.16 | 0.74 ± 0.17 |
Sensitivity | 0.90 ± 0.23 | 0.67 ± 0.28 | 0.56 ± 0.18 | |
F1-score | 0.90 ± 0.23 | 0.71 ± 0.25 | 0.62 ± 0.18 | |
Correctly identified MU counts | 15.56 ± 8.67 | 5.63 ± 5.41 | 2.00 ± 2.07 | |
30% MVC | Precision | 0.84 ± 0.18 | 0.60 ± 0.22 | 0.65 ± 0.14 |
Sensitivity | 0.64 ± 0.30 | 0.32 ± 0.22 | 0.41 ± 0.11 | |
F1-score | 0.68 ± 0.28 | 0.36 ± 0.22 | 0.48 ± 0.12 | |
Correctly identified MU counts | 6.94 ± 9.28 | 1.00 ± 1.71 | 0.56 ± 1.03 | |
50% MVC | Precision | 0.83 ± 0.19 | 0.68 ± 0.27 | 0.59 ± 0.12 |
Sensitivity | 0.65 ± 0.28 | 0.49 ± 0.36 | 0.37 ± 0.13 | |
F1-score | 0.68 ± 0.27 | 0.52 ± 0.35 | 0.43 ± 0.12 | |
Correctly identified MU counts | 2.31 ± 3.09 | 1.00 ± 1.32 | 0.19 ± 0.54 |