Fig. 1From: A deep learning model for the classification of atrial fibrillation in critically ill patientsSummary of the experimental process. A deep learning model was trained on an external ECG dataset (a). ECG segments were extracted from our KGH database (b) and underwent expert annotation (c). The pre-trained model was evaluated as an AF classifier against our labeled data (d)Back to article page