Motor Imagery EEG Signal Classification on PhysioNet EEG dataset
98.63AccuracyMiniRocket
Evaluation Results
| Method | Links | |
|---|---|---|
| MiniRocketMI tasks=4, Architecture=MiniRocket2025.08 | 98.63 | |
| CNN-LSTMMI tasks=4, Architecture=CNN-LSTM2025.08 | 98.06 | |
| Li et al. [92] (DSCNN+ELM)MI tasks=5, Architecture=DSCNN+ELM2025.08 | 97.71 | |
| Li et al. [91] (CNN+GRU)MI tasks=5, Architecture=CNN+GRU2025.08 | 97.36 | |
| Li et al. [90] (DSCNN+GRU)MI tasks=5, Architecture=DSCNN+GRU2025.08 | 96.41 | |
| Lun et al. (CNN)MI tasks=4, Architecture=CNN2025.08 | 95.76 | |
| Zhang et al. (LSTM)MI tasks=5, Architecture=LSTM2025.08 | 95.53 | |
| Hou et al. [87] (Bi-LSTM)MI tasks=4, Architecture=Bi-LSTM2025.08 | 94.64 | |
| Hou et al. [86] (CNN)MI tasks=4, Architecture=CNN2025.08 | 94.5 | |
| Hou et al. [85] (GCNs-net)MI tasks=4, Architecture=GCNs-net2025.08 | 88.57 | |
| Sita et al. (LDA+RDA)MI tasks=3, Architecture=LDA+RDA2025.08 | 87.24 | |
| Dose et al. (CNN)MI tasks=4, Architecture=CNN2025.08 | 80.38 | |
| Karácsony et al. (CNN)MI tasks=4, Architecture=CNN2025.08 | 76.37 | |
| Alomari et al. (SVM)MI tasks=2, Architecture=SVM2025.08 | 74.9 |