Table 2.
Performances of various models and different data combinations.
| Model Name | Data | Accuracy | F1-Score |
|---|---|---|---|
| StressNeXt | PPG | 83.90% | 69.04% |
| ECG | 85.71% | 69.61% | |
| EEG | 66.31% | 39.40% | |
| PPG + ECG | 88.22% | 77.48% | |
| PPG + EEG | 83.26% | 68.35% | |
| ECG + EEG | 90.02% | 80.45% | |
| PPG + ECG + EEG | 86.90% | 74.26% | |
| LRCN | PPG | 84.27% | 70.49% |
| ECG | 93.42% | 88.11% | |
| EEG | 80.15% | 62.36% | |
| PPG + ECG | 86.77% | 74.66% | |
| PPG + EEG | 83.89% | 69.67% | |
| ECG + EEG | 91.39% | 84.31% | |
| PPG + ECG + EEG | 84.44% | 71.35% | |
| Self-Supervised CNN | PPG | 81.66% | 63.98% |
| ECG | 90.07% | 81.11% | |
| EEG | 74.44% | 28.90% | |
| PPG + ECG | 86.05% | 71.47% | |
| PPG + EEG | 84.72% | 69.90% | |
| ECG + EEG | 90.32% | 81.04% | |
| PPG + ECG + EEG | 80.69% | 52.70% |