Table 4 The detailed results of CNN-BERT for each class on the MIT-BIH dataset.
From: A hybrid model combining 1D-CNN and BERT for intelligent ECG arrhythmia classification
Per-class performance | N | S | F | V | Q |
|---|---|---|---|---|---|
Accuracy/% | 99.56 | 93.42 | 98.69 | 83.95 | 99.81 |
Specificity/% | 97.86 | 99.85 | 99.91 | 99.87 | 99.13 |
Precision/% | 99.56 | 93.41 | 98.79 | 83.95 | 98.87 |
Recall/% | 99.75 | 92.28 | 97.01 | 85.01 | 99.42 |
F1-score/% | 99.66 | 92.84 | 97.83 | 84.47 | 99.79 |
