Research Article
Decoding of Human Movements Based on Deep Brain Local Field Potentials Using Ensemble Neural Networks
Table 7
Comparison of detection performances of the ensemble classifier for disease conditions and groups of patients.
| Patient groups/LFP signal collection methods | Overall accuracy (%) | TPR (%) | TNR (%) |
| Patients with PD | 88.79 | 88.17 | 92.33 | Patients with Dystonia | 82.03 | 81.55 | 81.81 | LFPs from STNs | 89.14 | 86.56 | 89.87 | LFPs from GPIs | 84.62 | 83.95 | 84.55 |
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