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