Table 3 Performance comparison of different methods across four target domains (metrics computed on the target domain).
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 | |
Transformer35 | 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 |
Metareg36 | 0.469 | 0.476 | 0.472 | 0.474 | 0.571 | 0.726 | 0.738 | 0.674 | 0.705 | 0.758 | 0.852 | 0.825 | 0.798 | 0.807 | 0.908 | 0.572 | 0.625 | 0.527 | 0.559 | 0.588 |
Fsdr37 | 0.402 | 0.541 | 0.498 | 0.519 | 0.541 | 0.659 | 0.803 | 0.702 | 0.748 | 0.723 | 0.785 | 0.891 | 0.815 | 0.851 | 0.892 | 0.505 | 0.665 | 0.549 | 0.601 | 0.564 |
Selfreg38 | 0.488 | 0.528 | 0.489 | 0.508 | 0.583 | 0.745 | 0.791 | 0.691 | 0.737 | 0.782 | 0.871 | 0.877 | 0.806 | 0.846 | 0.912 | 0.591 | 0.652 | 0.543 | 0.591 | 0.613 |
Dlow39 | 0.488 | 0.530 | 0.475 | 0.501 | 0.564 | 0.726 | 0.802 | 0.718 | 0.758 | 0.761 | 0.872 | 0.879 | 0.792 | 0.833 | 0.904 | 0.589 | 0.654 | 0.523 | 0.572 | 0.602 |
DPStyler40 | 0.437 | 0.528 | 0.481 | 0.503 | 0.552 | 0.684 | 0.792 | 0.702 | 0.745 | 0.742 | 0.826 | 0.879 | 0.792 | 0.836 | 0.892 | 0.541 | 0.653 | 0.532 | 0.586 | 0.574 |
Dgmamba41 | 0.410 | 0.549 | 0.459 | 0.500 | 0.532 | 0.702 | 0.827 | 0.706 | 0.762 | 0.753 | 0.793 | 0.898 | 0.776 | 0.833 | 0.894 | 0.513 | 0.673 | 0.510 | 0.580 | 0.553 |
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 |