Table 1 Distribution of segments across all ECG rhythm classes in the annotated KGH data and the number of samples identified as noisy
From: A deep learning model for the classification of atrial fibrillation in critically ill patients
Class | Count | Noisy |
|---|---|---|
Sinus rhythm | 746 | 127 |
Atrial fibrillation/atrial flutter | 123 | 44 |
Pacemaker | 20 | 5 |
Bigeminy and trigeminy | 3 | 1 |
Ventricular tachycardia/fibrillation | 0 | 0 |
Other tachyarrythmia cardia | 0 | 0 |
Other bradyarrythmia | 5 | 1 |
Non-diagnostic (abstain) | 87 | 85 |