Table 5 Performance comparison of different methods on four target domains (Accuracy, Precision, Recall, F1-Score, and AUC).
From: Research on cross-dataset cardiac signal domain generalization and feature interpretability
Method | 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 | |
Transformer | 0.427 | 0.547 | 0.512 | 0.529 | 0.552 | 0.684 | 0.809 | 0.714 | 0.759 | 0.742 | 0.810 | 0.896 | 0.829 | 0.861 | 0.902 | 0.530 | 0.671 | 0.563 | 0.612 | 0.573 |
+DFEM | 0.456 | 0.559 | 0.528 | 0.543 | 0.586 | 0.712 | 0.819 | 0.731 | 0.774 | 0.777 | 0.842 | 0.902 | 0.851 | 0.876 | 0.911 | 0.562 | 0.683 | 0.586 | 0.634 | 0.618 |
+IACM | 0.473 | 0.563 | 0.541 | 0.552 | 0.603 | 0.734 | 0.826 | 0.748 | 0.785 | 0.799 | 0.861 | 0.911 | 0.863 | 0.887 | 0.919 | 0.586 | 0.689 | 0.602 | 0.645 | 0.638 |
Ours | 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 |