Skip to main content

Table 3 Comparison of classification results of CNN_Transformer_LC and baselines on different Arrhythmia classifications

From: Constrained transformer network for ECG signal processing and arrhythmia classification

Methods

Normal

AF

I-AVF

LBBB

RBBB

PAC

PVC

STD

STE

F1

CNN

0.578

0.709

0.753

0.773

0.825

0.207

0.376

0.562

0.389

0.574

ResNet

0.578

0.787

0.833

0.757

0.847

0.324

0.407

0.610

0.260

0.601

Mutil_channelCNN

0.666

0.733

0.827

0.8

0.821

0.421

0.648

0.575

0.32

0.646

BiRNN

0.738

0.768

0.742

0.705

0.821

0.59

0.807

0.658

0.294

0.742

CNN_BiLSTM

0.723

0.826

0.851

0.829

0.893

0.600

0.818

0.692

0.529

0.751

CNN_Transformer_LC

0.817

0.858

0.878

0.800

0.872

0.618

0.830

0.711

0.686

0.786

  1. Bold values indiate the best experimental results under this category