Fig. 2 | Scientific Reports

Fig. 2

From: Prediction of left ventricular systolic dysfunction in left bundle branch block using a fine-tuned ECG foundation model

Fig. 2

Architecture of the left bundle branch block (LBBB)-specific ECG-FM. It is used to fine-tune the ECG-FM with LBBB ECG data. The projection layer, which converts 4-channel ECG data into 12-channel data, feeds the transformed inputs into the convolutional encoder. After passing through the convolutional encoder, latent features are combined with positional embeddings and processed by the transformer encoder to refine local representations. * indicates that 7 individual models are developed by freezing the top 12, 10, 8, 6, 4, 2, and 0 layers of the transformer encoder, respectively.

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