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DeeECG EfficientNet V2 Fine Tuned to detect AFIB at 5y

model_name: efficientnetv2_afib_5y
Utilizes the EfficientNetV2 architecture for processing ECG signals.
Pre-trained model is loaded from a specified directory, and the model is used to process ECG signal tensors.
The model takes an input signal tensor and outputs the logits for the binary classification of incident AFIB at 5 years.
Model compiled with JIT,

To load use

import torch
model = torch.jit.load(model_path)

Inference API

Unable to determine this model's library. Check the docs .