Research Article
RETRACTED: An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices
Table 3
F1 score class comparison.
| F1 score class comparison | Rhythm class | BDLSTM | Residual | LSTM-CNN | Proposed RBFNN |
| Sinus rhythm | 0.812 | 0.734 | 0.793 | 0.883 | Artifact/noise | 0.834 | 0.818 | 0.843 | 0.923 | Ventricular tachycardia | 0.265 | 0.169 | 0.417 | 0.721 | Atrial fibrillation | 0.837 | 0.763 | 0.764 | 0.852 | Bigeminy | 0.663 | 0.136 | 0.553 | 0.754 | PVC | 0.769 | 0.821 | 0.724 | 0.912 | Overall | 0.813 | 0.728 | 0.742 | 0.902 |
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