Diastolic BP Regression on Diastolic Blood Pressure Regression Dataset
8.428MAESIGMA-PPG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.428 | 10.86 | 0.6758 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.477 | 10.97 | 0.6429 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.486 | 10.93 | 0.6673 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.557 | 11.2 | 0.6526 | |
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.695 | 10.95 | 0.6387 | |
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 8.944 | 11.31 | 0.6023 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 9.211 | 11.58 | 0.5993 |