Table 3 Artifact removal results of five models for multi-channel EEG.
From: A novel EEG artifact removal algorithm based on an advanced attention mechanism
Method | Loss | SNR | RRMSEt | RRMSEf | CC |
---|---|---|---|---|---|
1D-ResCNN | 0.088 | 9.712 | 0.342 | 0.336 | 0.783 |
NovelCNN | 0.075 | 11.085 | 0.270 | 0.281 | 0.789 |
DuoCL | 0.063 | 11.412 | 0.259 | 0.273 | 0.791 |
CLEnet (without EMA-1D) | 0.066 | 11.264 | 0.263 | 0.279 | 0.792 |
CLEnet | 0.061 | 11.692 | 0.241 | 0.264 | 0.812 |