Research Article
A Deep Learning Model for Stroke Patients’ Motor Function Prediction
Table 5
Prediction accuracy results realized by the different extension models for both hands movements.
| Case | EEG-DenseNet_E1 (%) | EEG-DenseNet_E2 (%) | EEG-DenseNet_E3 (%) | Left hand | Right hand | Left hand | Right hand | Left hand | Right hand |
| C1 | 87 | 86.5 | 97 | 96 | 90 | 93 | C2 | 80 | 80 | 97 | 98 | 87 | 82 | C3 | 77 | 89 | 87 | 88 | 80 | 80 | C4 | 77 | 86 | 87 | 85 | 77 | 77 | C5 | 80 | 80 | 87 | 88 | 80 | 84 | C6 | 87 | 87 | 90 | 94 | 87 | 83 | C9 | 87 | 86 | 90 | 90 | 87 | 86 | C6 | 80 | 80 | 87 | 89 | 80 | 84 | C9 | 77 | 85 | 97 | 88 | 80 | 85 | C10 | 77 | 84.9 | 87 | 86 | 80 | 80 | C11 | 77 | 86 | 90 | 97 | 87 | 86 | Mean | 79.09 | 89.09 | 98.7 | 98.8 | 82.29 | 85.7 | Standard deviation | ±2.3 | ±4.3 | ±3.4 | ±4.1 | ±1.9 | ±3.3 |
|
|