Signal Quality Classification on Signal Quality Classification Dataset
99.07AUCSIGMA-PPG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 99.07 | 92.89 | 87.82 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 98.21 | 90.93 | 84.14 | |
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 97.34 | 89.21 | 82.79 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 95.87 | 85.02 | 76.51 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 95.23 | 82.19 | 74.12 | |
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 91.62 | 79.27 | 69.81 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 89.23 | 74.33 | 65.24 |