Table 3.
Comprehensive comparison of existing state-of-the-art methods with proposed method.
| Method | Subject | Channel | Feature | Protocol | Accuracy |
|---|---|---|---|---|---|
| (MDD,HC) | (%) | ||||
| Feature-level fusion (26) | (86, 92) | EEG (3) | 60 linear and | Ten-fold CV | 86.98 |
| 36 nonlinear features | |||||
| Multivariate pattern analysis (27) | (27, 28) | EEG (128) | 249 EEG features | LOSOCV | 92.73 |
| Multimodal fusion (28) | (81,89) | EEG (3) | 6 EEG features | Nested CV | 86.64 |
| and voice(1) | and 15 voice features | ||||
| Case-Based Reasoning Model (29) | (86, 92) | EEG (3) | 113 EEG features | Ten-fold CV | 91.25 |
| SVM (30) | (20, 19) | EEG (64) | 3 potential biomarker | Ten-fold CV | 89.7 |
| KNN (31) | (92, 121) | EEG (3) | 270 features | Ten-fold CV | 79.27 |
| Independent component analysis (32) | (13, 13) | EEG (64) | - | - | - |
| Brain Function Networks (33) | (24, 24) | EEG (64) | LC-CC in theta band | Ten-fold CV | 93.31 |
| Correlated Feature Selection (23) | (17, 17) | EEG (128) | 10 EEG features | LOSOCV | 88.94 |
| Ours | (24, 29) | EEG (128) | - | LOSOCV | 90.98 |
CV, Cross-Validation; LOSOC, Leave-One-Subject-Out Cross-Validation;MDD, Major Depression Disorder; HC, Healthy Control.