Table 16 Comparison of firing rate calculation and DL prediction correctness metrics on the self-collected dataset.
From: Spike train analysis in rehabilitation movement classification using deep learning approach
Exercise | DL prediction | Firing rate calculation | |||||
|---|---|---|---|---|---|---|---|
Correctness prediction | Precision | Recall | F1-score | Mean percentage error | Mean absolute deviation | Movement correctness | |
Squat | 0.8193 | 0.8189 | 0.8211 | 0.8200 | 0.1694 | 0.9887 | 0.8306 |
Lunges | 0.8108 | 0.8123 | 0.8157 | 0.8140 | 0.1700 | 0.9078 | 0.8300 |
Heel raise | 0.7633 | 0.7641 | 0.7671 | 0.7656 | 0.2265 | 0.958 | 0.7735 |
Sit to stand | 0.7108 | 0.7101 | 0.7158 | 0.7129 | 0.2911 | 0.6336 | 0.7089 |
Leg Raise | 0.8403 | 0.8404 | 0.8419 | 0.8411 | 0.1526 | 1.0361 | 0.8474 |