Hypertension Classification on Hypertension Classification Dataset
82.58AUCPulse-PPG
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Pulse-PPGNumber of Parameters=28M, Evaluation Protocol=Full Fine-Tuning2026.01 | 82.58 | 79.67 | 72.13 | |
| Proposed PPG Foundation ModelEvaluation Protocol=5-fold cross-validation, Fold count=5, Input segment length=10s2026.06 | 77 | 75 | 71 | |
| SIGMA-PPGNumber of Parameters=30M, Evaluation Protocol=Full Fine-Tuning2026.01 | 76.19 | 91.98 | 87.51 | |
| GPT-PPGNumber of Parameters=19M, Evaluation Protocol=Full Fine-Tuning2026.01 | 74.96 | 90.87 | 86.55 | |
| SimCLREvaluation Protocol=5-fold cross-validation, Fold count=5, Input segment length=10s2026.06 | 74 | 72 | 68 | |
| BYOLEvaluation Protocol=5-fold cross-validation, Fold count=5, Input segment length=10s2026.06 | 73 | 73 | 69 | |
| SIGMA-PPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 70.45 | 91.32 | 86.9 | |
| Papagei-PNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 55.93 | 91.79 | 88.47 | |
| Papagei-SNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 51.49 | 90.87 | 86.55 | |
| AnyPPGNumber of Parameters=5M, Evaluation Protocol=Full Fine-Tuning2026.01 | 50.85 | 91.48 | 88.09 |