Table 5 Comparison of state-of-the-art models for ECG classification on Dataset III.

From: A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet

Refs.

Model

Precision

Recall

F1-score

Accuracy

42

CNN with dual-branch architecture

0.8270

0.7659

0.7955

0.7955

52

CNN with entropy features

0.7140

0.6620

0.6800

0.7650

53

LSTM

0.9381

0.8801

0.9150

0.8659

43

Bi-GRU

0.8490

0.8170

0.8330

0.8870

Ours

SimCardioNet

0.9220

0.9210

0.9210

0.9210

  1. Significant values are in bold.
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