Table 7 Noise robustness analysis of the proposed model under different noise levels on four target domains (Accuracy, Precision, Recall, F1-Score, and AUC).
From: Research on cross-dataset cardiac signal domain generalization and feature interpretability
Noise Level | Target domain: MIT-BIH Sup arrhythmia | Target domain: MIT-BIH arrhythmia | Target domain: INCART | Target domain: SCD-Holter | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Acc | Precision | Recall | F1-Score | AUC | Acc | Precision | Recall | F1-Score | AUC | Acc | Precision | Recall | F1-Score | AUC | Acc | Precision | Recall | F1-Score | AUC | |
0.10 | 0.482 | 0.553 | 0.528 | 0.539 | 0.601 | 0.742 | 0.815 | 0.739 | 0.773 | 0.798 | 0.876 | 0.903 | 0.862 | 0.881 | 0.916 | 0.592 | 0.678 | 0.598 | 0.636 | 0.623 |
0.05 | 0.496 | 0.561 | 0.545 | 0.552 | 0.615 | 0.755 | 0.823 | 0.751 | 0.782 | 0.810 | 0.884 | 0.911 | 0.870 | 0.889 | 0.922 | 0.603 | 0.686 | 0.606 | 0.643 | 0.636 |
0.01 | 0.506 | 0.567 | 0.554 | 0.560 | 0.624 | 0.764 | 0.829 | 0.758 | 0.791 | 0.816 | 0.890 | 0.916 | 0.874 | 0.895 | 0.925 | 0.610 | 0.691 | 0.609 | 0.648 | 0.642 |
0 | 0.511 | 0.570 | 0.560 | 0.565 | 0.628 | 0.768 | 0.832 | 0.762 | 0.795 | 0.819 | 0.894 | 0.919 | 0.877 | 0.898 | 0.928 | 0.614 | 0.694 | 0.611 | 0.651 | 0.647 |